- Random - Mailing list — Dipartimento di Matematica, UniPI

Fwd: Probability postdoc @ McGill
by Faggionato, Alessandra 19 Nov '19

19 Nov '19

---------- Messaggio inoltrato ---------- Da: *Louigi Addario-Berry* <louigi(a)gmail.com> Data: sabato 16 novembre 2019 Oggetto: Probability postdoc @ McGill A: "Linan Chen, Prof." <linan.chen(a)mcgill.ca>, Jessica Lin < jessica.lin(a)mcgill.ca>, Elliot Paquette <elliot.paquette(a)gmail.com> Dear colleague, We are advertising a 3-year postdoc in probability at McGill; details appear below. We would be grateful if you could pass along this ad to anyone who may be interested. The application deadline is December 10. Thanks very much, Louigi, Linan, Jessica and Elliot. -- To apply: https://www.mathjobs.org/jobs/jobs/15010 The Department of Mathematics and Statistics at McGill University is advertising a three-year postdoctoral fellowship in probability theory and related fields. The postdoctoral fellow will include a teaching obligation of two courses per year. Candidates must have a doctoral degree in mathematics or a related discipline at the date of appointment, and must have demonstrated the capacity for independent research of excellent quality. The probability group includes four faculty members from the McGill Department of Mathematics and Statistics (Louigi Addario-Berry, Linan Chen, Jessica Lin and Elliot Paquette), as well as several faculty members from other McGill departments and other Montreal universities. The fellowship will include a generous salary, and additional funding will be available to the postdoc for research-related travel. Moreover, postdoctoral fellows, depending on their residency status, may pay a reduced tax rate (via the Québec program "Tax Exemption for Foreign Postdoctoral Trainees"). McGill University is committed to equity and diversity. We welcome and encourage applications from women, Indigenous persons, people with disabilities, members of racialized communities, LGBTQIA+ individuals, and other groups which are currently underrepresented within the mathematical community. Candidates are welcome to signal any leave that affected productivity, or any other circumstances that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record. McGill seeks to ensure the equitable treatment and full inclusion of people with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Individuals who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr(a)mcgill.ca, or phone at 514-398-2477. Applications should be submitted via MathJobs.org and should include 3 references. All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority. To ensure full consideration applications must be received by December 10, 2019. -- Information about work permits, healthcare and benefits, parental leave, and other employment-related questions can be found at the following links. https://www.mcgill.ca/gps/postdocs https://www.mcgill.ca/gps/postdocs/international/workpermit https://www.mcgill.ca/gps/postdocs/fellows/healthcare https://www.mcgill.ca/gps/students/graduate-policies- and-regulations/parental-leave -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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Seminar Wadsworth @Bocconi
by Giacomo Zanella 18 Nov '19

18 Nov '19

We announce the following DEC Statistics seminar: Thursday, November 21 12:30 Meeting room 3-e4-sr03, Bocconi University, Via Roentgen 1, 3rd floor Jenny Wadsworth (Lancaster University) Title: Towards higher-dimensional spatial and spatio-temporal extremes Abstract: The past decade has seen a huge effort in modelling the extremes of spatial processes. Significant challenges include the development of models with an appropriate asymptotic justification for the tail; ensuring model assumptions are compatible with the data; and the fitting of these models to (at least reasonably) high-dimensional datasets. I will review basic ideas of modelling spatial extremes, and introduce a more scalable approach via conditioning on a single site being extreme, which can also be applied in the space-time context. Furthermore, the sometimes-undesirable nature of conditioning on an extreme event at a particular location can be circumvented by an importance sampling algorithm to change the conditioning event. As we move towards being able to model extremes at more locations, we must also learn to deal with the complex structures of larger datasets, such as spatial nonstationarity in the extremal dependence. Some approaches to simplify these structures via deformations tailored to extremal dependence will also be discussed. Kind regards, Giacomo Zanella The DEC statistics seminars schedule is available at http://www.unibocconi.eu/statseminar Please note: if you are a guest and you do not have a Bocconi ID Card to access to the Bocconi Buildings, please communicate your participation by sending an email to elisa.picassi(a)unibocconi.it

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Seminar: okada@DISMEQ Department of Statistics and Quantitative Methods, University of Milano-Bicocca
by Fulvia Pennoni 18 Nov '19

18 Nov '19

----------------------------------------------------------------------------------- ** 21/11/2019 h.11.00 /Building U7 4th floor - Seminar Room 4026/ Department of Statistics and Quantitative-Methods, Via Bicocca degli Arcimboldi, 8 - 20126 Milano ----------------------------------------------------------------------------- MULTIDIMENSIONAL SCALING OF ASYMMETRIC RELATIONSHIPS Akinori Okada Professor Emeritus of the Rikkyo University, Tokyo okada(a)rikkyo.ac.jp Torgerson (1952) introduces his multidimensional scaling as the first practical method of representing proximity (similarity, dissimilarity) relationships among objects in a multidimensional space or a configuration. The method is called metric, which means that the observed proximities are assumed to be interval or ratio scaled values. Shepard (1962a, b) and Kruskal (1964a, b) introduced methods which are called nonmetric multidimensional scaling. Nonmetric multidimensional scaling assumes that the observed proximities are ordinal scaled values. This mean that only the information which of two proximities is larger (or smaller) than the other is utilized in the analysis. The nonmetric multidimensional scaling of Kruskal (1964a, b) has been used most frequently in practical applications of multidimensional scaling, and several multidimensional scaling methods based on the similar idea of Kruskal (1964a, b) have been introduced. The multidimensional scaling developed so far assumes that the proximity is symmetric. Several researchers focused their attention on the asymmetry in various sorts of proximity; similarity/dissimilarity judgment, same/different judgment, reaction time, social and psychological distance, and so on. It is meaningful to develop asymmetric multidimensional scaling which can represent asymmetric proximity relationships among objects in a configuration. Various kinds of procedures to analyze an asymmetric proximity matrix were invented. We concentrate on the multidimensional scaling which is based on the distance among points, each representing an object, in a multidimensional space (distance model). The asymmetric multidimensional scaling by Okada and Imaizumi (1987) represents asymmetric proximity relationships among objects by the interpoint distance in a multidimensional configuration. The distance between two points is symmetric. It is difficult to represent asymmetric relationships simply by the interpoint distance, because the distance itself is symmetric. The model of Okada and Imaizumi (1987), which is called Distance-radius model, represents an object by a point and a circle [two-dimensional model] (sphere [three-dimensional] or hypersphere [larger than three-dimensional]) centered at the point in a multidimensional space. Several models were derived from the model. Multidimensional scaling mentioned above, regardless of metric or nonmetric and of being able to represent asymmetry or not, analyzes one proximity matrix (object x object) or one-mode two-way proximities (Carroll and Arabie, 1980). To analyze a set of proximity matrices each comes from a source (object x object x source) or two-mode three-way proximities, INDSCAL was developed by Carroll and Chang (1970). INDSCAL can represent relationships among objects and how each source (individual) has different relationships among objects each other. While INDSCAL can represents differences among sources, it cannot represent the asymmetry in relationships among objects of each source. The model of Okada and Imaizumi (1997) is an extension of the Distance-radius model which can analyze a set of asymmetric proximity matrices or two-mode three-way asymmetric proximities. The asymmetric multidimensional scaling of Okada and Imaizumi (1997) can represents asymmetric relationships among objects, and how each source has different symmetric and asymmetric relationships among objects each other as well. Several models, which are less restricted or more restricted, have been derived from Okada and Imaizumi (1997). To analyze one-mode two-way asymmetric proximities, there is another asymmetric multidimensional scaling by Okada (2011) and Okada and Tsurumi (2012) which is based on the singular value decomposition. The asymmetric multidimensional scaling has been utilized to analyze mainly the data from marketing research or brand switching. Several models and procedures have been derived by extending the model of Okada (2011) which can, for example, evaluate newly introduced brands, diagnose brands, tell how to increase the dominance of a brand in the brand switching... Another sort of procedure to analyze one-mode two-way asymmetric proximities is asymmetric cluster analysis, which can represent asymmetric proximity relationships among objects by forming clusters (Okada & Iwamoto, 1966; Okada & Yokoyama, 2015). It is important and meaningful to develop not only multidimensional scaling but also cluster analysis as well so that we can use two different kinds of methods to analyze the same proximity data (Arabie & Hubert, 1994). There are quite a few number of applications of asymmetric multidimensional scaling and cluster analysis. While these applications are not mentioned here because of the space limitation, some of them will be mentioned in the talk. The present abstract deals only with researches of the author and his colleagues. Bove and Okada (2018) gives a review which covers a wide range of asymmetric multidimensional scaling and asymmetric cluster analysis in detail. Some books mention the analysis of asymmetric relationships. Borg and Groenen (2005) has a chapter of asymmetric multidimensional scaling. Coxon and Coxon (2001) refers to asymmetric multidimensional scaling. **/References/// Arabie, P. & Hubert, L. (1994). Cluster analysis in marketing research. In Bagozzi, R. F. (Ed.), A/dvanced methods marketing research/. pp. 160-199. Cambridge, MA: Blackwell. Bove, G., & Okada, A. (2018). Methods for the analysis of asymmetric pairwise relationships. Advances in Data Analysis and Classification, *12*, 5-31. Borg, I., & Groenen, P.J.F. (2005). /Modern multidimensional scaling: Theory and applications/(2nd ed.). New York: Springer. Carroll, J. D., & Arabie, P. (1980). Multidimensional Scaling. In M. R. Rosenzweig & L. W. Porter (Eds.), /Annual Review of Psychology/, *31*, 607-649. Carroll, J. D. & Chang, J. J. (1970). Analysis of individual differences individual differences in multidimensional scaling via an /N/-way generalization of “Eckart-Young” decomposition. /Psychometrika/, /35/, 283-319. Coxon, T.F., & Coxon, M.A.A. (2001). /Multidimensional scaling/ (2nd ed.). Boca Raton, FLChapman&Hall/CRC. Kruskal, J. B. (1964a). Nonmetric multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. /Psychometrika/, /29/, 1-27. Kruskal, J. B. (1964b). Nonmetric multidimensional scaling: A numerical method. /Psychometrika/, *29,* 115-129. Okada, A. (2011). Analyzing social affinity for foreigners by spectral decomposition: Asymmetric multidimensional scaling of EASS 2008 Data [Supekutoru bunkai niyoru gaikokujin ni taisuru shinkinkan no bunseki: EASS 2008 no deta wo mochiita hitaishou tajigenshakudokoueihou no ouyou]. In JGSS Research Center, (Ed.), /JGSS Research Series/, /11/. (pp. 119-128). Osaka: Osaka University of Commerce. Okada, A., & Imaizumi, T. (1987). Nonmetric multidimensional scaling of asymmetric proximities. /Behaviormetrika, /*21*/,/ 81-96. Okada, A., & Imaizumi, T. (1997). Asymmetric multidimensional scaling of two-mode three-way proximities. /Journal of Classification/,*14, *195-224. Okada, A., & Iwamoto, T. (1996). University enrollment flow among the Japanese prefectures: A comparison before and after the Joint First Stage Achievement Test by asymmetric cluster analysis. /Behaviormetrika/, *23*, 169-185. Okada, A., & Tsurumi, H. (2012). Asymmetric multidimensional scaling of brand switching among margarine brands./Behaviormetrika/, *39*, 111-126. Okada, A., & Yokoyama, S. (2015). Asymmetric CLUster analysis based on SKEW-Symmetry: ACLUSKEW. In I. Morlini, M. Tommaso, & M. Vichi, (Eds.), /Advance in statistical models for data analysis/.//191-199. Heidelberg, Germany: Springer-Verlag. Shepard, R. N. (1963a). The analysis of proximities: Multidimensional scaling with unknown distance function. I. /Psychometrika/, *27*, 125-140. Shepard, R. N. (1963b). The analysis of proximities: Multidimensional scaling with unknown distance function. II. /Psychometrika/, *27,* 219-246. Torgerson, W. T. (1952). Multidimensional scaling: I. Theory and method. /Psychometrika/, *17*, 401-419. ** /For more info:/***//**/fulvia.pennoni@unimib.it <mailto:fulvia.pennoni@unimib.it>/* -- Fulvia Pennoni Ph.D. Department of Statistics and Quantitative Methods University of Milano-Bicocca https://sites.google.com/view/fulviapennoni

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Fwd: PhD fellowship in mathematical and computational methods for time series analysis
by Giovanni Peccati 17 Nov '19

17 Nov '19

Dear Colleagues, I am forwarding a message from K. Ebrahimli-Fard, advertising a prestigious doctoral position in Trondheim. All my best, Giovanni ---------- Forwarded message --------- From: Kurusch Ebrahimi-Fard <kurusch.ebrahimi-fard(a)ntnu.no> Date: Wed, 13 Nov 2019 at 18:19 Subject: PhD fellowship in mathematical and computational methods for time series analysis To: giovanni.peccati(a)gmail.com <giovanni.peccati(a)gmail.com> Cc: Kurusch Ebrahimi-Fard <kurusch.ebrahimi-fard(a)ntnu.no>, Joscha Diehl < joscha.diehl(a)gmail.com> Dear Giovanni, I hope all is well! A few months ago we advertised an open call for applications for a *PhD fellowship on time series analysis* here at NTNU in Trondheim. A joint project with Joscha DIEHL (cc) from Greifswald. Unfortunately, our top candidate eventually accepted another offer. Therefore, we've decided to re-open the position: https://www.jobbnorge.no/en/available-jobs/job/177938/phd-fellowship-in-mat… Joscha and I would appreciate it if you could bring this announcement to the attention of your students. Kind regards, Kurusch =========================================== Kurusch Ebrahimi-Fard Norwegian University of Science and Technology NTNU Department of Mathematical Sciences NO-7491 Trondheim, Norway Tel.: +47 735-935-27 (office) www: https://folk.ntnu.no/kurusche/ email: kurusch.ebrahimi-fard(a)ntnu.no <kurusch.ebrahimi-fard(a)ntnu.no> -- Prof. Giovanni Peccati ------------------------------------------ UR en Mathématiques Faculté des Sciences, de la Technologie et de la Communication ------------------------------------------ Université du Luxembourg ----------------------------------------- homepage: http://sites.google.com/site/giovannipeccati/Home E-mail: giovanni.peccati(a)gmail.com

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AN``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS - 22 November 2019 (Jansen e Avena)
by Francesca Romana Nardi 15 Nov '19

15 Nov '19

Ecco il reminder per Venerdi` 22 Novembre. Vi aspettiamo numerosi Gianmarco Bet e Francesca R. Nardi From: Francesca Romana Nardi [mailto:francescaromana.nardi@unifi.it] Sent: Thursday, November 7, 2019 10:33 AM To: 'random(a)fields.dm.unipi.it' <random(a)fields.dm.unipi.it> Subject: AN``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS - 22 November 2019 (Jansen e Avena) Carissimi, Vi annunciamo che prossimamente si terrà la nona giornata di seminari: AN ``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 22 November 2019 Lecturers: Sabine Jansen (Munich) and Luca Avena (Leiden) Location: Aula Tricerri Viale Morgagni 67, Firenze Informazioni su come arrivare alla pagina: <https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html> https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html Note pratiche: Stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono mangiare insieme. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di mandare un email a <mailto:francescaromana.nardi@unifi.it> francescaromana.nardi(a)unifi.it; <mailto:gianmarco.bet@unifi.it> gianmarco.bet(a)unifi.it; <mailto:angela.caporicci@unifi.it> angela.caporicci(a)unifi.it con l'intenzione di partecipare al seminario, al coffe break e al pranzo. PROGRAMMA Prof. Sabine Jansen (LMU Munich) Title: Large deviations and metastability for the Widom-Rowlinson model Abstract: The Widom-Rowlinson model is one of the few models in statistial mechanics for which a phase transition is rigorously proven. It is also popular in stochastic geometry and spatial statistics where it is called area interaction model and belongs to the broader class of quermass interaction models. After reviewing some relevant background about Gibbs measures for continuum interacting particle systems, I will discuss large deviations for the Widom-Rowlinson model in a joint high-density / low-temperature limit. I will also discuss metastability for a spatial birth and death process, a.k.a. continuum Glauber or grand-canonical Monte-Carlo, for which the Gibbs measure is reversible. Based on joint work with Frank den Hollander, Roman Kotecký and Elena Pulvirenti. Prof. Luca Avena (University of Leiden) Title: Explorations of networks through random spanning forests: theory and applications Abstract: David Wilson in the 1990s described a simple and efficient algorithm based on loop-erased random walks to sample uniform spanning trees and, more generally, weighted rooted trees or forests spanning a given graph. The goal of this lecture is to describe the resulting probability measure when Wilson's algorithm is used to sample rooted spanning forests. This forest-measure has a rich, flexible and explicit mathematical structure which makes it a powerful tool to design different algorithms to explore a given network. In the first part of the lecture, I will focus on fundamental aspects of this measure and how it relates to other objects of interest in statistical physics such as the well known Random-cluster model. I will in particular describe the main properties of related observables (e.g. set of roots, induced partition) which turn out to be determinantal processes with simple kernels and then discuss some progress in understanding related scaling limits. The second part of the lecture will be devoted to applications. In particular, depending on time, I plan to discuss four different algorithms aiming at: (1) sampling well-distributed points in a graph, (2) coarse-graning a given network, (3) processing signals on graphs (a novel gaph wavelet transform), (4) estimating the spectrum of the graph Laplacian. The core of this lecture is based on different joint collaborations with the following colleagues and students: Castell, Gaudillere, Melot, Milanesi (Marselle), Quattropani (Rome), Driessen, Koperberg, Magrini (Leiden) , Amblard, Barthelme, Tremblay (Grenoble). Program: 11.00-11.45 Introductory lecture: Jansen 11.45-12.00 Break 12.00-12.45 Seminar: Jansen 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Avena 15.15-15.30 Break 15.30-16.30 Seminar: Avena Organizers: G. Bet, F. Caravenna, N. Cancrini, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, D. Fanelli, F. Flandoli, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, F.R. Nardi, E. Presutti, B. Scoppola, E. Scoppola. Ricordiamo che ciascun oratore fara` una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni e aggiornamenti sono reperibili alle pagine web http://web.math.unifi.it/users/fnardi/seminari/ o http://silicio.math.unifi.it/wordpress/probability/days-in-probability-and-… Vi aspettiamo numerosi Gianmarco Bet e Francesca R. Nardi Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy

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Special issue "Stochastic Modeling in Biology" of the Journal "Mathematics" (ISSN 2227-7390)
by Mario Abundo 14 Nov '19

14 Nov '19

APOLOGIES FOR CROSS-POSTING Dear Colleagues, The Journal "Mathematics" (ISSN 2227-7390) will publish the special issue "Stochastic Modeling in Biology" https://www.mdpi.com/journal/mathematics/special_issues/Stochastic_Modeling… of which I am guest editor. The deadline for manuscript submissions is 31 May 2020. The aim of this Special Issue is to publish original research articles covering advances in the theory of stochastic modeling in biology. In this framework, continuous and discrete time stochastic processes will be discussed, as well as stochastic differential equations, fractional differential equations, correlated processes, first-passage-time problems, stochastic optimal controls, parameter estimation, and simulation techniques. All the above topics are intended to be treated in the spirit of modeling the evolution of stochastic systems of interest in Biology. Potential topics include but are not limited to the following: -Stochastic processes for neuronal activity; -Jump-diffusion processes; -Markov and semi-Markov processes; -Time-changed processes; -Markov chains; -Fractional processes; -Fractional Brownian motion. I hope that you will consider this special issue as an interesting and useful forum for publishing your latest research work in stochastic modeling in Biology. I would be glad if you will submit a paper to this special issue. Your submission should be made at the web site: https://www.mdpi.com/journal/mathematics/special_issues/Stochastic_Modeling… The deadline for manuscript submissions is 31 May 2020. Best Regards, Mario Abundo ================================== Mario Abundo Dipartimento di Matematica Universita' di Roma "Tor Vergata" via della Ricerca Scientifica 00133 Roma, Italy e-mail: abundo(a)mat.uniroma2.it http://www.mat.uniroma2.it/~abundo tel: +39 06 7259 4627 fax: +39 06 7259 4699 ==================================

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QFW2020 - Last call
by Maria Elvira Mancino 14 Nov '19

14 Nov '19

Dear All, please find the last call for papers for QFW2020 attached to this message. The submission deadline is now extended to December, 6th. Thanks, Stefania

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Fwd: Acri - YITP 2019
by Francesco Cesarone 13 Nov '19

13 Nov '19

Ricevo ed inoltro il seguente avviso per il bando “Young Investigator Training Program” promosso da ACRI (https://www.acri.it/) Il bando sostiene la partecipazione di giovani ricercatori, impegnati in strutture di ricerca all'estero, a congressi di rilevanza internazionale organizzati da Università ed Enti di ricerca italiani. https://www.acri.it/PublicFondazioniOnline/Detail/4863 https://www.acri.it/_upload/cartelle_documenti/BANDO_ACRI_YITP_2019.pdf Cordialmente, Francesco Cesarone ---------- Forwarded message --------- Da: Vito Vicini <Vito.Vicini(a)acri.it> Date: lun 4 nov 2019 alle ore 12:35 Subject: Acri - YITP 2019 To: Francesco Cesarone <francesco.cesarone(a)uniroma3.it> Gentile Prof. Francesco Cesarone, facendo seguito ai colloqui intercorsi e alla pubblicazione del bando Acri “Young Investigator Training Program 2019”, Le sarei grato qualora potesse contribuire alla diffusione dello stesso tra le Università e i Centri di Ricerca che ritenesse potenzialmente interessati alla partecipazione. Nel ringraziarLa per quanto potrà fare, Le porgo i miei più cordiali saluti. Vito Vicini [cid:428113308@23122010-0E74] -- Video - Quantitative Finance Workshop 2018 - Uniroma3 <https://www.youtube.com/watch?v=-DrAdCK8ht8&feature=youtu.be> http://disa.uniroma3.it/qfw2018/ -- Francesco Cesarone - Ph.D. Ricercatore - Assistant Professor Dipartimento di Economia Aziendale Università Roma Tre Via Silvio D'Amico, 77 00145 - Roma tel: +39 06 57335744 Skype: francesco.cesarone email: francesco.cesarone(a)uniroma3.it Studio n. 20 piano V WWW: http://host.uniroma3.it/docenti/cesarone/

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Seminario Luca Avena a Pisa
by Dario Trevisan 13 Nov '19

13 Nov '19

Dear all, this is to announce the following research talk by Luca Avena, to be held in Pisa. PLACE: Aula Riunioni, Dipartimento di Matematica, Università di Pisa (first floor). DATE & TIME: Wednesday, Nov 20, 2019, 2 PM SPEAKER: Luca Avena (Univ. Leiden) TITLE: Multiscale analysis of network data sets via random walk kernels. ABSTRACT: I will present a random walk approach to analyse data sets that are encoded into a network structure (a weighted graph). Random walks are natural objects to explore a given network and have been used as building blocks to design different type of algorithms such as the celebrated PageRank. The core of this lecture is on three new general algorithms aiming at: 1) sampling well-distributed points in a graph, 2) coarse graining a given network at different scales, 3) processing signals on graphs through a novel wavelets transform. As I will discuss, these algorithms can be good or not depending on the specific data set problem to be analyzed. The main emphasis will be given on the underlying mathematical structures which are of fundamental interest per se within probability theory and statistical phyisics. Partially based on joint work with Castell, Gaudilliere and Melot Best regards, Dario -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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IWAP2020, THESSALONIKI, GREECE, 15-18 June 2020
by Antonio DI CRESCENZO 12 Nov '19

12 Nov '19

---------- Forwarded message --------- Da: Alexander Bochkov <a.bochkov(a)gmail.com> Date: mar 12 nov 2019 alle ore 14:10 Subject: about IWAP2020, THESSALONIKI, GREECE, 15-18 June 2020 Dear Colleagues, The IWAP International Board and the organizers are pleased to announce that the 10th INTERNATIONAL WORKSHOP ON APPLIED PROBABILITY, (IWAP2020) will take place in THESSALONIKI, GREECE, from 15 to 18 June 2020. For further information please visit the conference homepage: http://iwap2020.web.auth.gr For information: Prof. George Tsaklidis, e-mail: tsaklidi(a)math.auth.gr Sincerely yours, Alexander Bochkov

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Fwd: four postdoc positions in probability and stochastic processes - IME-USP - Brazil
by Daniela Bertacchi 12 Nov '19

12 Nov '19

Ricevo ed inoltro, con preghiera di diffusione a tutti gli interessati. ---------- Forwarded message --------- Da: Fabio Machado <faprama(a)gmail.com> Date: gio 7 nov 2019, 21:59 Subject: four postdoc positions in probability and stochastic processes - IME-USP - Brazil To: Fabio Machado <faprama(a)gmail.com> Dear colleagues, We have just advertised four postdoc positions in probability and stochastic processes at IME-USP (São Paulo, Brazil) to begin from February 2020 (flexible). Further information is available at: https://mathhire.org/jobs/854 or https://www.science.hr/jobs/54984/four-postdoc-positions-in-probability-and… Please forward this information to anyone who might be interested. Many thanks in advance, Fabio Machado https://www.ime.usp.br/~fmachado/ -- *Fábio Prates Machado* - Professor Instituto de Matemática e Estatística Universidade de São Paulo, Brasil.

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FW: Postdoc position in applied probability, Alan Turing Institute / QMUL
by Zocca, A. 11 Nov '19

11 Nov '19

Ricevo e inoltro, Cordiali saluti, Alessandro Zocca ----------------------------------------------------------- Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://sites.google.com/site/zoccaale/ From: John Moriarty <j.moriarty(a)QMUL.AC.UK> Date: Monday, November 11, 2019 at 12:36 Subject: Postdoc position in applied probability, Alan Turing Institute / QMUL Dear colleagues, it would be appreciated if you could forward the opportunity below to potentially interested candidates in applied probability. A postdoctoral position is available in the ‘Data-driven stochastic control’ project at the Alan Turing Institute, funded by the Institute and by my EPSRC fellowship. The successful applicant may sit either at Queen Mary or at the Turing. The role involves application of the theory of stochastic optimal control in data-driven settings, and the investigation of applications to artificial intelligence. The position may be of interest to researchers working in optimal stopping, optimal switching, backward stochastic differential and difference equations, model ambiguity and risk aversion. Applications close on 7th December and the expected start date is 1 January 2020 or as soon as possible thereafter, with an end date of 24 August 2021. For more details see https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=4824 and informal enquiries can be addressed to jmoriarty(a)turing.ac.uk<mailto:jmoriarty@turing.ac.uk>

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Special issue of Journal of Energy Markets
by Tiziano Vargiolu 09 Nov '19

09 Nov '19

Apologize for cross-posting Dear colleagues, Journal of Energy Markets will publish a special issue, associated to the workshop Energy Finance Italia 4 held in Milano in February 2019. However, this call is not limited to conference participants, but also extends to other researchers working on this topic. Topics of particular interest may include, but are not limited to: - integration of electricity markets, - market power and market strategies, - electricity market modeling and simulation, - impact of new technologies, - cross-border issues, - CO2 emissions trading, - green certificate markets, - risk management, - futures, forwards and derivatives, - price and volatility dynamics, - risk premia. Therefore, we hope that you will consider this issue as an interesting and useful forum for publishing your latest research work in the field. Your submission should be made by e-mail to one of the guest editors - Carlo Lucheroni <carlo.lucheroni(a)unicam.it> - Tiziano Vargiolu <vargiolu(a)math.unipd.it> The deadline for the submission of the full paper is December 31, 2019. We would be glad to receive your paper submission to the Journal of Energy Markets' special issue. With kind regards, Carlo Lucheroni and Tiziano Vargiolu -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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SMPGD'20, Institut Pasteur, Paris, January 23-24
by Julyan Arbel 07 Nov '19

07 Nov '19

Dear all, FYI, the Statistical Methods for Post Genomic data (SMPGD) workshop will take place at Institut Pasteur in Paris on 23-24 January (more info below). Best, Julyan Arbel ---------- Forwarded message ---------- From: Franck Picard <franck.picard(a)univ-lyon1.fr> Date: 7 Nov 2019 at 13:08 +0100 To: smpgd-scientific(a)groupes.renater.fr, smpgd-organization(a)groupes.renater.fr <smpgd-organization(a)groupes.renater.fr> Subject: [smpgd-scientific] SMPGD'20, Institut Pasteur, Paris, January 23-24 - second call > dear members of the SMPGD scientific committee > > Could you forward the announcement of the SMGPD 2020 edition to your > national lists ? It appears that the information has not spread > everywhere in Europe yet ;-) > > All the best > > Franck > > ---------------------------------------------------------------------------------------------- > > Dear all, > > The 2020 edition of the Statistical Methods for Post Genomic data(SMPGD) > workshop will take place at Institut Pasteur in Paris on 23-24 January. > The workshop aimis to present works from mathematical to applied > statistics, but alsonew areas in high throughput biology that could need > new statisticaldevelopments. > > https://smpgd2020.sciencesconf.org/ > > The 2020 edition is organized by the Bioinformatics and Biostatistics > Hub (Institut Pasteur) and the main topicsare: Evolution of > inter-species interactions, Machine learning algorithms for > computational biology, and Evolution and epidemiology. > > The workshop will feature 4 keynote speakers: > > * Simona Cocco (Ecole des Neurosciences Paris Ile de France, Paris, > http://www.paris-neuroscience.fr/en/chercheurs-non-enp/simona-cocco ) > > * Julia Gog (University of Cambridge, Cambridge, UK > http://www.damtp.cam.ac.uk/people/j.r.gog/ ) > > * Louis Lambrechts (Institut Pasteur, Paris > https://research.pasteur.fr/en/team/insect-virus-interactions/ ) > > * Laurent Jacob (CNRS, LBBE, Université Lyon 1, Lyon > https://lbbe.univ-lyon1.fr/-Jacob-Laurent-.html ) > > Attendance is free, but registration is mandatory on the conference > website. Registration deadline is *January 7, 2020*. > > Submissions for posters and short talks are open and will close > on*November 15, 2019 at 23:59 pm*. Abstracts selected for a short > talkwill be announced on December 15, 2019. > > We are looking forward to meeting you in Paris. > > Best regards, > > Marie-Agnès Dillies, on behalf of the organizing committee (Alice > Cleynen, Franck Picard, Stéphane Robin and Anne Biton, Pascal Campagne, > Vincent Guillemot, Emeline Perthame, Stevenn Volant) >

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AN``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS - 22 November 2019 (Jansen e Avena)
by Francesca Romana Nardi 07 Nov '19

07 Nov '19

Carissimi, Vi annunciamo che prossimamente si terrà la nona giornata di seminari: AN ``AUTUMN'' DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 22 November 2019 Lecturers: Sabine Jansen (Munich) and Luca Avena (Leiden) Location: Aula Tricerri Viale Morgagni 67, Firenze Informazioni su come arrivare alla pagina: <https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html> https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html Note pratiche: Stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono mangiare insieme. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di mandare un email a <mailto:francescaromana.nardi@unifi.it> francescaromana.nardi(a)unifi.it; <mailto:gianmarco.bet@unifi.it> gianmarco.bet(a)unifi.it; <mailto:angela.caporicci@unifi.it> angela.caporicci(a)unifi.it con l'intenzione di partecipare al seminario, al coffe break e al pranzo. PROGRAMMA Prof. Sabine Jansen (LMU Munich) Title: Large deviations and metastability for the Widom-Rowlinson model Abstract: The Widom-Rowlinson model is one of the few models in statistial mechanics for which a phase transition is rigorously proven. It is also popular in stochastic geometry and spatial statistics where it is called area interaction model and belongs to the broader class of quermass interaction models. After reviewing some relevant background about Gibbs measures for continuum interacting particle systems, I will discuss large deviations for the Widom-Rowlinson model in a joint high-density / low-temperature limit. I will also discuss metastability for a spatial birth and death process, a.k.a. continuum Glauber or grand-canonical Monte-Carlo, for which the Gibbs measure is reversible. Based on joint work with Frank den Hollander, Roman Kotecký and Elena Pulvirenti. Prof. Luca Avena (University of Leiden) Title: Explorations of networks through random spanning forests: theory and applications Abstract: David Wilson in the 1990s described a simple and efficient algorithm based on loop-erased random walks to sample uniform spanning trees and, more generally, weighted rooted trees or forests spanning a given graph. The goal of this lecture is to describe the resulting probability measure when Wilson's algorithm is used to sample rooted spanning forests. This forest-measure has a rich, flexible and explicit mathematical structure which makes it a powerful tool to design different algorithms to explore a given network. In the first part of the lecture, I will focus on fundamental aspects of this measure and how it relates to other objects of interest in statistical physics such as the well known Random-cluster model. I will in particular describe the main properties of related observables (e.g. set of roots, induced partition) which turn out to be determinantal processes with simple kernels and then discuss some progress in understanding related scaling limits. The second part of the lecture will be devoted to applications. In particular, depending on time, I plan to discuss four different algorithms aiming at: (1) sampling well-distributed points in a graph, (2) coarse-graning a given network, (3) processing signals on graphs (a novel gaph wavelet transform), (4) estimating the spectrum of the graph Laplacian. The core of this lecture is based on different joint collaborations with the following colleagues and students: Castell, Gaudillere, Melot, Milanesi (Marselle), Quattropani (Rome), Driessen, Koperberg, Magrini (Leiden) , Amblard, Barthelme, Tremblay (Grenoble). Program: 11.00-11.45 Introductory lecture: Jansen 11.45-12.00 Break 12.00-12.45 Seminar: Jansen 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Avena 15.15-15.30 Break 15.30-16.30 Seminar: Avena Organizers: G. Bet, F. Caravenna, N. Cancrini, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, D. Fanelli, F. Flandoli, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, F.R. Nardi, E. Presutti, B. Scoppola, E. Scoppola. Ricordiamo che ciascun oratore fara` una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni e aggiornamenti sono reperibili alle pagine web http://web.math.unifi.it/users/fnardi/seminari/ o http://silicio.math.unifi.it/wordpress/probability/days-in-probability-and-… Vi aspettiamo numerosi Gianmarco Bet e Francesca R. Nardi Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy

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Borse di studio per attività di ricerca - Uni Pavia e UniCredit
by Giorgia Callegaro 07 Nov '19

07 Nov '19

Carissimi tutti, vi comunico che all'Albo Ufficiale d'Ateneo di Pavia, alla pagina *http://www-5.unipv.it/alboufficiale/ <http://www-5.unipv.it/alboufficiale/>* è stato pubblicato in data 31/10/2019 il seguente bando (n. 1726): * Bando di concorso per il conferimento di n. *2* borse di studio per attività di ricerca dal titolo -Modelli di rischio finanziario- presso il Dipartimento di Scienze Politiche e Sociali dell'Università degli Studi di Pavia - *Scadenza 20 novembre 2019 - ore 12:00* L’attività di ricerca verterà sulla tematica “*Modelli di rischio finanziario*” e si svolgerà presso la sede di Milano di Unicredit S.p.A. e sarà finanziata con fondi del contratto Unicredit, di titolarità della Prof.ssa Figini. Durata di mesi 12. L'importo totale della borsa è di € 15.600,00 e sarà corrisposto in rate mensili. Grazie per l'attenzione. Cordiali saluti, Giorgia Callegaro -- Giorgia Callegaro Assistant Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Permanent position in Probability, Statistics, Actuarial or Financial Mathematics at DCU
by Paolo Guasoni 06 Nov '19

06 Nov '19

Dear Colleague, Dublin City University has an Assistant or Associate Professor (permanent) position in Probability, Statistics, Actuarial or Financial Mathematics: https://www.dcu.ie/sites/default/files/hr/bc1010_assistant_associate_profes… The closing date for the application is December 8, 2019. With best regards, Paolo Guasoni -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DublinCityUni> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Advances in Financial Mathematics 2020 (fwd)
by Tiziano Vargiolu 06 Nov '19

06 Nov '19

---------- Forwarded message ---------- Date: Tue, 5 Nov 2019 18:47:21 +0100 From: Idris Kharroubi <idris.kharroubi(a)upmc.fr> To: undisclosed-recipients: ; Subject: Advances in Financial Mathematics 2020 The conference "Advances in Financial Mathematics 2020" supported by the chair Risques Financiers will take place from january 14 to january 17 2020 at the Cordeliers campus in Paris. It will address topics of particular relevance for the practice of financial risk management : market liquidity, market microstructure, risk measures, numerical methods, model calibration and model risk, robustness, credit/Default/Counterparty risk, regulatory aspects, non-linear valuation, hedging, systemic risk, game theory, blockchain. Registration is free but compulsory on the website https://fin-risks2020.sciencesconf.org/ On Behalf of the organizing committee, Idris Kharroubi Professor Laboratoire de Probabilit?s, Statistique et Mod?lisation Sorbonne University - Facult? of Science and Engineering

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PhD opportunities, Oxford-Imperial StatML
by Stefano Favaro 06 Nov '19

06 Nov '19

Ricevo e inoltro. Cordial saluti, Stefano Favaro **** Inizio messaggio inoltrato **** Da: Patrick Rebeschini <patrick.rebeschini(a)stats.ox.ac.uk> Oggetto: PhD opportunities, Oxford-Imperial StatML Data: 5 novembre 2019 23:45:22 CET A: "stefano.favaro(a)unito.it" <stefano.favaro(a)unito.it> RE: PhD opportunities in Modern Statistics and Statistical Machine Learning at Imperial and Oxford. Deadline for first application round: November 15. Are you interested in modern statistics and machine learning? Do you have a background in Maths, Statistics or related areas? If so then apply to the StatML CDT! StatML is a new Centre for Doctoral Training (CDT) based at Imperial College London and the University of Oxford. We offer a transformative style of doctoral training, leading towards a PhD / DPhil, which provides opportunities to: • explore new research areas using modern statistical methods and machine learning; • make real scientific, societal and industrial impacts with your research; • experience and engage in peer to peer learning; • be involved in cohort based training; • work directly with leading industrial partners; • receive exposure to cutting edge researchers in two world-leading universities. We will offer about 15 studentships for entry in October 2020. Each student will be funded with a grant for four years of study. Typically, the funding is available for Home/EU students – we expect to have two admissions rounds with submission deadlines of 15 November 2019 and 24 January 2020. There are very limited funding opportunities for overseas students (see the website for details). StatML is funded by EPSRC with support from industrial partners. Please visit the StatML website to find out more: https://statml.io/ <https://statml.io/> Stefano Favaro University of Torino and Collegio Carlo Alberto http://sites.carloalberto.org/favaro/

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post-doc position in St Petersburg
by Dario Trevisan 05 Nov '19

05 Nov '19

Salve, segnalo ai potenziali interessati un annuncio per una posizione post-doc presso L'Euler International Mathematical Institute a St Peterburg, ``in all areas of Mathematics, Theoretical Computer Science, Mathematical and Theoretical Physics''. Il salario corrisponde circa a 1450 euro netti mensili + biglietti aerei. La durata e' da 1 a 2 anni eventualmente rinnovabili per un altro anno. La domanda va fatta preferibilmente entro il 30.11.19. Per ulteriori dettagli, vedere http://www.pdmi.ras.ru/EIMI/ Saluti, Dario Trevisan -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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14-15 nov: Giovanni Peccati mini-course at Roma Tor Vergata
by Anna Vidotto 05 Nov '19

05 Nov '19

*Mini-course* held by *Giovanni Peccati* (6 hours) Title: *The Malliavin-Stein method* Abstract: *I will provide a self-contained introduction to a collection of probabilistic techniques developed in the last decade, focussing on quantitative limit theorems for non-linear functionals of Gaussian fields, obtained by combining two techniques: (i) the Malliavin calculus of variations, and (ii) Stein's method for probabilistic approximations. I will develop in full detail at least one geometric application related to the structure of level sets of Gaussian fields, and I will try to point out a number of further directions of research, connected e.g. to concentration estimates, entropic bounds, discrete geometric structures and the analysis of Boolean functions.* *A systematically updated list of papers related to Malliavin-Stein techniques can be found here * https://sites.google.com/site/malliavinstein/home *The main reference of the matter is the monograph by I. Nourdin and myself: *https://tinyurl.com/y3h2n8e2 Place: Aula Dal Passo, Dipartimento di Matematica, Università di Roma Tor Vergata Via della Ricerca Scientifica 1, 00133 Roma Schedule: - Thursday November 14th, from 2 PM to 5 PM - Friday November 15th, from 9:30 AM to 12:30 AM --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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3-year postdoctoral fellowship in Statistics
by Samantha Leorato 01 Nov '19

01 Nov '19

Apologize for cross-posting. --------------------------------------------- Dear All, with this e-mail, we would like to inform you that the Department of Economics, Management and Quantitative Methods (DEMM), University of Milan, Italy, launches a call for a full-time, 3-year fixed-term Postdoctoral Research Associate position to work on a statistical science programme grant funded by the Centre of Excellence in Economics and Data Science (CEEDS), awarded by the Italian Ministry of Education (MIUR). The research activity is to be carried out at the Department of Economics, Management and Quantitative Methods of the University of Milan, under the supervision of Prof. Chiara Tommasi, within the research programme “Selection of the most informative observations”. The annual gross remuneration package for this position will be €32,000. The research project concerns adaptation and generalization of the optimal design theory and of some typical results of mathematical statistics, for selecting the most informative observations from a huge and complex data set. Details on the application can be found at https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg… <https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg…>. Deadline for application: November 15th 2019 Samantha Leorato ----------------------------------------------------- Associate Professor in Statistics Dept. Economics, Management, and Quantitative Methods University of Milan, via Conservatorio, 7 20122 Milano Samantha.Leorato(a)unimi.it https://sites.google.com/site/samanthaleorato/ https://www.researchgate.net/profile/Samantha_Leorato -----------------------------------------------------

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Politecnico di Milano - Seminario Borgonovo
by Laura Maria Sangalli 31 Oct '19

31 Oct '19

Si avvisa che in data 06-12-2019, alle ore 14:30 precise, presso l'Aula Seminari "F. Saleri" VI piano, Dipartimento di Matematica, Politecnico di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente seminario: Relatore: Emanuele Borgonovo, Bocconi University Titolo: Explainability, intepretability and sensitivity analysis Sommario: A growing research activity is developing for increasing interpretability of machine findings. When complex architectures are used, analysts are, in fact, exposed to the black-box effect. This seminar will review several methods used both in the machine learning and in the simulation community to make the black box more transparent. We shall discuss tools such as partial dependence functions, layerwise relevance propagation, as well as present several local and global sensitivity analysis methods, also proposing new tools and new findings on popular tools. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Laura Sangalli -- Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> url: http://mox.polimi.it/~sangalli

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Fwd: Position in Probability at Durham University
by Elisabetta Candellero 31 Oct '19

31 Oct '19

Ricevo ed inoltro. Elisabetta ---------- Forwarded message ---------- From: "CHHITA, SUNIL" <sunil.chhita(a)durham.ac.uk> To: Cc: Bcc: Date: Wed, 30 Oct 2019 13:45:31 +0000 Subject: Position in Probability at Durham University Dear Friends and Colleagues, Apologies if you receive more than one copy of this message. We are currently advertising a new assistant professor position (i.e. lecturer) in probability at Durham University, UK. The closing date for applications is 13th December 2019. Please see the link below for more details: https://www.dur.ac.uk/jobs/recruitment/vacancies/math20-15/ Please pass this on to anyone who you think might be interested. Many thanks, Sunil Chhita Nicholas Georgiou Ostap Hryniv Mikhail Menshikov Ellen Powell Mustazee Rahman Matthias Troffaes Andrew Wade

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University of Padova: call for interest for a Professor in Probability
by Tiziano Vargiolu 31 Oct '19

31 Oct '19

Please circulate among all potential interested people Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Call for Papers -- EFI5-Energy Finance Italia Ed.5
by Tiziano Vargiolu 31 Oct '19

31 Oct '19

-------- Messaggio originale -------- Oggetto: Call for Papers -- EFI5-Energy Finance Italia Ed.5 Data: 30-10-2019 23:09 Mittente: LM <lmastroeni(a)os.uniroma3.it> Dear All, we are delivering the Second Call for Papers for the workshop EFI5 - Energy Finance Italia Edn. 5 Roma Tre University, Department of Economics February 10 - 11, 2020 The DEADLINE for submissions is DECEMBER 15TH, 2019 IMPORTANT DATES: DECEMBER, 15TH Deadline for submissions of extended abstracts JANUARY, 15TH Deadline for notification of acceptance JANUARY, 25TH Deadline for the payment of fees JANUARY, 31ST Deadline for the submission of full papers FEBRUARY, 10TH - 11TH Workshop KEYNOTE SPEAKERS: Lutz Kilian [1] and Brian Wright [2] A SELECTION OF PAPERS presented at the workshop will be published in the journal Decisions in Economics and Finance [3]. You can find all the information at the following link http://host.uniroma3.it/eventi/efi5/ All the best Loretta Mastroeni LORETTA MASTROENI Associate Professor of Mathematical Finance Department of Economics Via Silvio D'Amico, 77 - 00145 Rome - Italy ph: +39-6-5733.5693 e-mail: loretta.mastroeni(a)uniroma3.it Skype contact: lmastroeni_1 Links: ------ [1] https://sites.google.com/site/lkilian2019/ [2] https://are.berkeley.edu/users/brian-wright [3] https://www.springer.com/journal/10203

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Fourth European Conference on Queueing Theory (ECQT'20)
by Antonio DI CRESCENZO 30 Oct '19

30 Oct '19

ricevo e inoltro /********************************************************************/ /* *Fourth European Conference on Queueing Theory (ECQT'20)* */ /* Madrid, Spain, *July 20-22, 2020* */ /* ecqt20.sciencesconf.org */ /********************************************************************/ *GENERAL INFORMATION* The European Conferences on Queueing Theory (ECQT) is now a consolidated tradition for the members of the queueing theory community in europe and abroad. After the three past editions (Genth, Belgium in 2014, Toulouse, France in 2016, Jerusalem, Israel in 2018), the next one comes back in Madrid, where the parent MCQT conferences were first organized by Jesús Artalejo during the years 2002-2010. ECQT conferences aim to be a meeting place where scientists and technicians in the field can find a discussion forum to promote research,encourage interaction and exchange ideas. The conference is open to all trends in queueing theory, including the development of the theory, methodology advances, computational aspects and applications. The spirit of the conference is to be a queueing event organized from within Europe, but attendees and submissions need not be restricted to Europe. *CALL FOR ABSTRACTS* We invite you to submit an abstract to ECQT'20 conference. Instructions for preparing the abstracts will be available soon on the conference website . Each abstract accepted for presentation will require a separate registration. The deadline for submission of an abstract is April 15, 2020. *SPECIAL ISSUES* Participants at the conference will be given the opportunity to submit a paper to special volumes of the journals *Queueing Systems: Theory and Applications* (QUESTA) and *Performance Evaluation*. The paper should be based on unpublished work presented at the conference. All submitted papers will be refereed according to the high standards of the journals. The deadline for submission to the special issues is *September 30, 2020*. More information on the special issues will be given in future announcements. *TAKACS THESIS AWARD* The Steering committee of the European Conference on Queueing Theory (ECQT) is pleased to announce the setting up of the third edition of the Takács award. The Takács Award is a bi-annual award presented to doctoral dissertations in recognition of outstanding contributions to queueing theory, including the development of theory, methodological advances, computational aspects and applications. The award will be presented during the ECQT'20 conference. Details will be published in the conference website soon. *ECQT'20 IMPORTANT DATES* Submission site opens: *January 1, 2020* Deadline for abstract submission: *April 15, 2020* Notification of acceptance: *April 30, 2020* Early registration deadline: *May 31, 2020* Conference dates: *July 20-22, 2020* *CONFERENCE WEBSITE* Further information is provided at the conference website <http://ecqt16.sciencesconf.org/>ecqt20.sciencesconf.org, accessible also at ecqt20.uc3m.es. *ECQT'20 ORGANIZING COMMITTEE* *General Chairs*: Bernardo D'Auria, Madrid University Carlos III *TPC Chairs*: Ivo Adan, Eindhoven University of Technology Bernardo D'Auria, Madrid University Carlos III Offer Kella, Hebrew University of Jerusalem *ECQT Steering Committee*: Sem Borst, TU Eindhoven and Nokia Herwig Bruneel, Ghent University Douglas Down, McMaster University Antonis Economou, University of Athens Bara Kim, Korea University Michel Mandjes, University of Amsterdam Antonio Pacheco, IST-UTL Miklos Telek, Budapest University of Technology and Economics Sabine Wittevrongel, Ghent University *Local Organizing Committee*: Sergio Santiago Benito, ADCOMM Century S.L., Madrid

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Concorso RTDB Mat/06 Roma Tor Vergata
by Domenico Marinucci 30 Oct '19

30 Oct '19

Cari colleghi vi segnalo il bando per un posto di Ricercatore di tipo B, Mat/06, Dipartimento di Matematica Università di Roma Tor Vergata, uscito ieri sulla Gazzetta Ufficiale: http://web.uniroma2.it/module/name/Content/newlang/italiano/action/showpage… Vi prego di diffondere l'annuncio tra i potenziali interessati, saluti e grazie, Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://www.mat.uniroma2.it/~marinucc/ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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seminario Emilio Porcu a Roma Tor Vergata
by Anna Vidotto 30 Oct '19

30 Oct '19

Dear all, I would like to announce the following talk that will be held on Thursday *November* *7th* 2019, at *5 PM*, in *Aula D’Antoni* of the Department of Mathematics, University of Rome Tor Vergata. *Speaker:* Emilio Porcu (Trinity College Dublin) *Title:* Modeling Temporally Evolving and Spatially Globally Dependent Data *Abstract:* The last decades have seen an unprecedented increase in the availability of data sets that are inherently global and temporally evolving, from remotely sensed networks to climate model ensembles. This paper provides an overview of statistical modeling techniques for space–time processes, where space is the sphere representing our planet. In particular, we make a distinction between (a) second order‐based approaches and (b) practical approaches to modeling temporally evolving global processes. The former approaches are based on the specification of a class of space–time covariance functions, with space being the two‐dimensional sphere. The latter are based on explicit description of the dynamics of the space–time process, that is, by specifying its evolution as a function of its past history with added spatially dependent noise. We focus primarily on approach (a), for which the literature has been sparse. We provide new models of space–time covariance functions for random fields defined on spheres cross time. Practical approaches (b) are also discussed, with special emphasis on models built directly on the sphere, without projecting spherical coordinates onto the plane. We present a case study focused on the analysis of air pollution from the 2015 wildfires in Equatorial Asia, an event that was classified as the year's worst environmental disaster. The paper finishes with a list of the main theoretical and applied research problems in the area, where we expect the statistical community to engage over the next decade. Kind regards, Anna Vidotto --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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postdoc in Trento
by Carlo Orrieri 30 Oct '19

30 Oct '19

Dear all, The Department of mathematics at Università di Trento, invites applications for a postdoctoral position in all the areas of mathematics. Details of the postdoctoral position and information for applicants are available at the call for applications: https://www.unitn.it/ateneo/bando/60412/dipartimento-di-matematica-avviso-d… <https://www.unitn.it/ateneo/bando/60412/dipartimento-di-matematica-avviso-d…> Deadline for applications: 2 DECEMBER 2019 at 12.00 (Italian time). Best wishes Carlo Orrieri

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Fwd: 3d Physics Informed Machine Learning - January 13-17, 2020
by Mateusz Wilinski 29 Oct '19

29 Oct '19

Workshop for those interested in applying Machine Learning to physical problems. The organizers also provide a number of travel grants. Best, Mateusz ---------- Forwarded message --------- Da: Andrey Lokhov <andrey.lokhov(a)gmail.com> Date: mar 29 ott 2019 alle ore 02:12 Subject: 3d Physics Informed Machine Learning - January 13-17, 2020 To: Michael Chertkov <chertkov(a)math.arizona.edu>, Lokhov, Andrey < lokhov(a)lanl.gov>, Mohan, Arvind Thanam <arvindm(a)lanl.gov> Dear Colleagues, We would appreciate if you could share the workshop announcement below with your colleagues, and attract the attention of graduate students and postdocs to the available travel grants. Thank you, Michael Chertkov, Andrey Lokhov, Arvind Mohan ------------------- The Center for Nonlinear Studies and The Information Science & Technology Institute at Los Alamos National Laboratory are pleased to announce an upcoming conference: [image: 3ea459d06f4f4153b23454d39692e8df.jpg] *3d Physics Informed Machine Learning* *January 13-17, 2020* *Inn and Spa at Loretto, Santa Fe, New Mexico* *Workshop website: **cnls.lanl.gov/piml2020* <http://cnls.lanl.gov/piml2020> Previous editions of the workshop are available at cnls.lanl.gov/piml2018 and cnls.lanl.gov/piml2016. *Topics:* - Theory and Methods *(Monday and Tuesday morning)* Deep learning, graphical models, optimization, tensor and message-passing methods, statistical learning - Algorithms and Applications *(Tuesday afternoon and Wednesday)* Physics, computer science, biology, dynamical systems, novel computational paradigms (quantum, memristors), etc. - Special Topic: Spatio-Temporal Flows *(Thursday and Friday morning)* Dynamical systems, fluid mechanics and turbulence *Important Dates:* - Financial support requests: *November 15, 2019* - Abstract submissions: *November 15, 2019* - Travel grant awards decisions: *December 6, 2019* - Workshop dates: *January 13-17, 2020* *Travel Grants for Students and Postdocs:* A limited number of travel grants are available for selected graduate students and postdocs to help offset the cost of attending the conference. Those interested should submit an application, including poster abstract and CV, before the deadline of *November 15, 2019*. We will make funding decisions by *December 6, 2020*. Please submit your application to: *piml2020(a)lanl.gov* <piml2020(a)lanl.gov>. *Posters:* Participants are encouraged to submit a poster, which will be displayed throughout workshop. We will also schedule a slot for poster discussions, tentatively scheduled for Monday, the first day of the workshop. Depending on the schedule, some posters will be selected for longer contributed presentations throughout the week. If you are applying for a travel grant, then you are required to submit your poster abstract by Friday, November 15, 2019. *Summary:* This workshop continues discussions and explorations started in January 2016 and January 2018 at the first and second editions of the workshop. A revolution in statistics and machine learning (ML) is underway. Modern algorithms can now learn high level abstractions via hierarchical models, leading to break-through accuracy in benchmarks for computer vision, language, etc. Underlying these advances is a strong and deep connection to various aspects of applied mathematics and statistical physics. For example, proper choice of statistical force allows to screen interaction and learn graphical models governing multi-dimensional distributions efficiently, gauge transformations from physics guide incorporation of symmetries in the neural network design, dynamical system interpretation helps to understand and improve performance of most efficient deep learning schemes, etc. This workshop seeks perspectives on leveraging the deep connection between ML and physics, but now with the goal to better understand and model physical systems, static and dynamic. We invite experts both in machine learning techniques as well as domain science applications. In this third edition of PIML we will focus on applications of interest to our LANL and DOE sponsors, specifically on improving scale-reduced, large eddy modeling and simulations of turbulence that arise in various mechanical-engineering, aerospace and climate applications; building reduced models for infrastructures (energy systems, cyber-physical systems, etc.); guiding development of inverse/design approaches in quantum physics, e.g. related to tensor networks; designing new computational paradigms (such as related to quantum and neuromorphic computing). The workshop discussions are aimed towards approaches and methods for physical modeling applications where a big-data, black-box approach to ML is only a starting point. We seek participants who may suggest innovative approaches that extend application agnostic ML techniques by incorporating complex constraints imposed by physical principles (e.g. conservation laws, causality, symmetries, entropy principles and related). The workshop format assumes 7 talks a day, late afternoon discussions and poster session. We encourage application of young researchers for fellowships (see website for details). We plan for active participation of LANL researchers and program managers across directorates and divisions interested in the physics informed learning. This emerging area of research has many aspects of computational co-design, and draws on LANL's strengths in statistical physics, modern applied mathematics, theoretical and applied computer science, infrastructure modeling and simulations, fluids and materials modeling, and high performance computing. Looking forward, we view physics informed learning as a viable path for LANL and DOE toward truly predictive multi-scale modeling, optimization, inference and leading for plethora of relevant applications in sciences and engineering. *Organizing Committee:* Michael Chertkov (University of Arizona) Andrey Lokhov (Los Alamos National Laboratory) Arvind Mohan (Los Alamos National Laboratory) [image: bed3f21384084acb905f2c173a3fa658.jpg]

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seminario Claudio Macci a Pisa
by Dario Trevisan 28 Oct '19

28 Oct '19

Dear all, this is to announce the following research talk by Claudio Macci, to be held in Pisa. PLACE: Sala Seminari, Dipartimento di Matematica, Università di Pisa (first floor). DATE & TIME: Wednesday, Nov 6, 2019, 3 PM SPEAKER: Claudio Macci (Università Roma Tor Vergata) TITLE: Multivariate fractional (possibly compound) Poisson processes ABSTRACT: we present multivariate space-time fractional Poisson processes by considering common random time-changes of a finite-dimensional vector of independent classical (nonfractional) Poisson processes. In some cases we also consider compound processes. We obtain some equations in terms of some suitable fractional derivatives and fractional difference operators, which provides the extension of known equations for the univariate processes. In particular we show that, for each fixed $t\geq 0$, the conditional joint distribution of the components given their sum is multinomial, as happens for the nonfractional Poisson processes. Thus we consider a suitable multivariate "alternative" fractional Poisson process, and we study its asymptotic behavior for large times (large and moderate deviations). The results appear in two papers with Luisa Beghin. Best, Dario -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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assegno di ricerca - Pavia
by Enrico Priola 28 Oct '19

28 Oct '19

Cari colleghi, segnalo l'assegno di ricerca, SSD MAT/06 (Probabilità e Statistica Matematica), titolo: "Processi Stocastici'' (scadenza 27/11/2019) http://bandi.miur.it/bandi.php/public/fellowship/id_fellow/164453 L'assegno è bandito all'interno del progetto di eccellenza MIUR presso il Dipartimento di Matematica dell'Università di Pavia. Grazie per l'attenzione. Enrico Priola -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Cambio aula - Colloquium di Lorenzo Zambotti a Milano-Bicocca (lunedì 28 ottobre)
by Francesco Caravenna 25 Oct '19

25 Oct '19

Comunico il seguente cambio di edificio / aula: Il colloquium di Lorenzo Zambotti a Milano-Bicocca, lunedì 28 ottobre 2019 ore 16:00, si terrà nell'aula U3-07 dell'edificio U3 (piano terra, Piazza della Scienza), 5 minuti a piedi dal Dipartimento di Matematica e Applicazioni. Il colloquium sarà seguito da un rinfresco. Segue l'annuncio completo. Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% Colloquium del Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca & Seminario Matematico e Fisico di Milano Lorenzo Zambotti (Sorbonne Université, Paris) "Regularity structures: from physics to probability, from analysis to algebra, from combinatorics to geometry" lunedì 28 ottobre 2019 ore 16:00, aula U3-07, edificio U3 (piano terra, Piazza della Scienza, Milano) Abstract: In this talk I wish to present some of the ideas at the heart of the theory of regularity structures (RS), introduced by Martin Hairer in 2014. RS are perhaps best described as a theory of Taylor expansions in a fractal (random) setting. I plan to show how this theory is based on a fascinating interplay between several different disciplines, as announced by my title. %%%%%%%%%%%%%%%%%%%%%%%%%%%% -- _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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Fwd: Call for applications, Integrable Probability Summer School
by Cristian Giardina 25 Oct '19

25 Oct '19

---------- Forwarded message --------- From: Naomi Kraker <kraker(a)maths.ox.ac.uk> Date: Fri, Oct 25, 2019 at 2:47 PM Subject: Call for applications, Integrable Probability Summer School To: Naomi Kraker <admin(a)claymath.org> The CMI-HIMR Integrable Probability Summer School will be held 27 July-7 August 2020 at the Mathematical Institute, University of Oxford. We would be grateful if you would circulate the below announcement to anyone who might be interest in applying. Thank you very much. With best regards, Naomi Naomi Kraker Administrative Manager Office of the President, Clay Mathematics Institute Andrew Wiles Building Radcliffe Observatory Quarter Woodstock Road Oxford OX2 6GG U.K. Email: admin(a)claymath.org Tel: +44 (0)1865 615155 www.claymath.org *CMI-HIMR Integrable Probability Summer School* *27 July – 7 August 2020* *Mathematical Institute, University of Oxford* The domain of integrable probability seeks to understand universal phenomena through exactly solvable probabilistic systems of algebraic and representation theoretic origin. This two-week postgraduate mathematics summer school will feature mini-courses and research talks on methods to find and analyze such solvable systems, as well as on more probabilistic approaches to expand the universality classes around them. Eight mini course speakers will each deliver three hours of lectures. Daily problem sessions and exercise presentations will help to reinforce the material from the courses. In addition to the mini course lectures, guest speakers will present research talks designed to complement the mini course topics. *Organisers: *Alexei Borodin (MIT) and Ivan Corwin (Columbia) *Mini course lecturers: *Jinho Baik (Michigan), Hugo Duminil-Copin (IHES), Vadim Gorin (MIT and Wisconsin, Madison), Rick Kenyon (Yale), Greta Panova (USC), Jeremy Quastel (Toronto), Fabio Toninelli (Lyon 1), Michael Wheeler (Melbourne) *Research Talk Speakers: * Amol Aggarwal (Harvard), Evgeni Dimitrov (Columbia), Yan Fyodorov (KCL), Alan Hammond (UC Berkeley), Alisa Knizel (Columbia), Pierre Le Doussal (ENS Paris), Leonid Petrov (Virginia), Tomohiro Sasamoto (Tokyo Inst Tech), Li-Cheng Tsai (Rutgers), Jon Warren (Warwick), Nicos Zygouras (Warwick) For graduate students or early career researchers who work in this area or nearby fields. *Registration: * http://claymath.org/events/cmi-himr-integrable-probability-summer-school Student places are offered with accommodation and weekday meals. This summer school is jointly funded by the Clay Mathematics Institute and the Heilbronn Institute for Mathematical Research, with support from the Mathematical Institute of the University of Oxford.

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Seminario a Padova: Alekos Cecchin
by Markus 25 Oct '19

25 Oct '19

Seminario di Analisi e Probabilità all'Università di Padova Martedì 29 ottobre 2019 alle ore 14:30 in aula seminario 430 del Dipartimento di Matematica (via Trieste, 63, 35121 Padova) Alekos Cecchin (Université de Nice Sophia-Antipolis, France) terrà un seminario dal titolo "Selection by vanishing common noise for potential finite state mean field games" Abstract: By adding a suitable Wright-Fisher common noise in the dynamics of the law, uniqueness is restored for finite state mean field games, for any shape of the costs. We then focus on a class of mean field games in which the costs admit a potential in the simplex of probability measures. Firstly, by modifying the cost in the mean field game, we show that the unique solution of the randomized mean field game is equal to the unique minimizer of a suitable stochastic control problem stated in the simplex, called potential randomized game. Thus we study the limit as the intensity of the common noise vanishes. On the one hand, the optimal trajectories converge to the mean field game solutions which are minimizers of the corresponding potential game (not randomized), that is a deterministic optimal control problem in the simplex. On the other hand, the classical solution to the second order master equation converges to the gradient of the value function of the related potential game; we select a particular weak solution, in the sense of distributions, of the master equation, which can be written as multidimensional system of hyperbolic PDEs stated in the simplex. Lastly, we establish uniqueness of such solution in a suitable class. Joint work with Francois Delarue. Tutti gli interessati sono invitati a partecipare. Gli organizzatori Martino Bardi, Claudio Marchi, Markus Fischer

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4-year postdoctoral position in "Modelling Collective Behaviour"
by Tiziano De Angelis 25 Oct '19

25 Oct '19

Dear All, I was asked to circulate the announcement below for a 4-year postdoctoral position in "Modelling Collective Behaviour". It might be of interest to candidates with a PhD in Statistics or Applied Maths, should you know any who is looking for a postdoc. https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSMA1003 Best wishes Tiziano

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Seminario di probabilita' di Daniel Valesin (Groningen) a Roma Tre
by Alexandre Stauffer 24 Oct '19

24 Oct '19

SEMINARIO Probabilita' Daniel Valesin (University of Groningen) Titolo: On the threshold of spread-out contact process percolation Lunedi' 04 Novembre 2019 ORE 16:30 Dipartimento di Matematica e Fisica Universita' degli Studi Roma Tre Largo San Leonardo Murialdo,1 - Pal.C - Aula 211 Abstract We study the stationary distribution of the (spread-out) d-dimensional contact process from the point of view of site percolation. In this process, vertices of ^d can be healthy (state 0) or infected (state 1). With rate one infected individuals recover, and with rate lambda they transmit the infection to some other vertex chosen uniformly within a ball of radius R. The classical phase transition result for this process states that there is a critical value lambda_c(R) such that the process has a non-trivial stationary distribution if and only if lambda > lambda_c(R). In configurations sampled from this stationary distribution, we study nearest-neighbor site percolation of the set of infected sites; the associated percolation threshold is denoted lambda_p(R). We prove that lambda_p(R) converges to 1/(1-p_c) as R tends to infinity, where p_c is the threshold for Bernoulli site percolation on ^d. As a consequence, we prove that lambda_p(R) > lambda_c(R) for large enough R, answering an open question of [Liggett, Steif, AIHP, 2006] in the spread-out case. Joint work with Bala'zs Ra'th. Alexandre

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Fwd: Tenure track position in mathematics at EPFL
by Marco Romito 24 Oct '19

24 Oct '19

-------- Forwarded Message -------- Subject: Tenure track position in mathematics at EPFL Date: Wed, 23 Oct 2019 17:04:25 +0200 From: Robert Dalang <robert.dalang(a)epfl.ch> To: Robert Dalang <robert.dalang(a)epfl.ch> Dear Colleagues, The Ecole Polytechnique Fédérale de Lausanne (EPFL) is advertising a tenure-track assistant-professorship in mathematics. The fields of interest include PDEs and stochastic PDEs. EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply. Could you please bring the announcement of the position (https://www.epfl.ch/about/working/mathematics/) to any strong candidates that you think might be interested? Sincerely, Robert Dalang.

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Mini corso di A. Stauffer a Roma Tre: Multi-scale analysis of reaction-diffusion particle systems
by Pietro Caputo 22 Oct '19

22 Oct '19

Speaker: Alexandre Stauffer (Roma Tre) Title: Multi-scale analysis of reaction-diffusion particle systems 6 Lectures: Monday, 25 November at 16:30 Tuesday, 26 November at 14:30 Monday, 2 December at 16:30 Tuesday, 3 December at 14:30 Monday, 9 December at 16:30 Tuesday, 10 December at 14:30 All lectures will be in Room 211 (2nd floor) at Department of Mathematics and Physics of Roma Tre Largo San Murialdo 1, Palazzina C For PhD students that want to take the course as part of their PhD coursework, the course will be completed by a reading part (to be discussed with the lecturer). Abstract: This course focus on the (microscopic) analysis of stochastic processes on particle systems. A few examples include spread of infection among moving particles, the frog model or stochastic combustion model, activated random walks, growth processes with competition, and branching random walk with interactions. A common feature of such models is that correlations do not decay exponentially fast, which brings serious challenges to the application of standard techniques of analysis, such as renormalization techniques and comparison with independent percolation. Recently, there has been very important progress in this field, with most new results employing a so-called multi-scale analysis to control the dependences in the model. Multi-scale analysis proved to be an extremely powerful technique; it has been employed in areas beyond particle system, one notable example being the study of random interlacements, where it has been playing a fundamental role. Despite its power, a multi-scale analysis can be quite involved to implement and can become very technical. In particular, it usually needs to be developed from scratch for each application as it needs to be tailored to each specific question being analyzed. The goal of this course is to explain the multi-scale analysis in a didactic and comprehensible way, demystifying this technique, and explaining its main aspects (the ones that are common to most applications) and the most common variations. In order to do this we will concentrate on one problem: the analysis of the spread of an infection among particles that move as independent simple random walks.

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PhD in Statistics & Computer Science - Univ. Bocconi
by Antonio Lijoi 21 Oct '19

21 Oct '19

Cari tutti, con preghiera di diffusione, inoltro l'annuncio relativo al bando (allegato) per l'ammissione al PhD in Statistics and Computer Science presso l'Università Bocconi, per l'a.a. 2020-2021. La scadenza per la presentazione delle domande è il 3 Febbario 2020. Saluti, AL *********************************************************** PhD in Statistics and Computer Science - a.y. 2020-2021 Call for applications for PhD student positions *********************************************************** The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver. * Scholarship amount * 20.280 euro per annum in the 1st and 2nd year 15.343 euro per annum in the 3rd and 4th year Further funding is available through teaching and research assistantship. Visit www.unibocconi.eu/admissionphd<http://www.unibocconi.eu/admissionphd> for detailed information. ** Applications are due by February 3, 2020 ** Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds. The curriculum is structured into two tracks: Statistics and Computer science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation. Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged. Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission. Applicants should hold or be on their way to hold a graduate degree or equivalent. For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience<http://www.unibocconi.eu/phdstatscompscience> and feel free to contact: Antonio Lijoi (antonio.lijoi(a)unibocconi.it<mailto:antonio.lijoi@unibocconi.it>) Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it<mailto:angela.baldassarre@unibocconi.it>) Antonio Lijoi Director, PhD program in Statistics and Computer Science Bocconi University http://mypage.unibocconi.it/antoniolijoi

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PhD position in TU Eindhoven
by Chiarini Alberto 21 Oct '19

21 Oct '19

Call for applications for a PhD position in TU Eindhoven (Netherlands) Applications are invited for a PhD position at TU Eindhoven (TU/e), under the supervision of Alberto Chiarini, who will be based at TU/e from January 2020 onwards. Chiarini's appointment at Eindhoven is part of a larger collaboration between the Analysis and Stochastics groups of the Department of Mathematics and Computer Science, and the PhD student will benefit from being embedded in both groups. The subject of the PhD project will be decided together with the student, and will be chosen from a range of topics on the interface between probability theory and analysis, including Gaussian free fields, particle systems, large deviations, and partial differential equations. Ideally, applicants have a sound training in probability theory (including stochastic processes and stochastic differential equations), analysis (including partial differential equations and functional analysis), and measure theory. Students with deficiencies in one of these areas but who are strong in others are nonetheless urged to apply. PhD positions at TU/e are salaried, fixed-term, four-year positions; the salary increases during the four years from approximately 30.000 to 50.000 euros, before tax. In addition, TU/e offers a wide range of secondary benefits. More information can be found by contacting Alberto Chiarini at chiarini(a)math.ucla.edu Applicants are encouraged to send their applications as early as possible; the position will be filled as soon as a suitable candidate is found. Personal webpage: https://www.math.ucla.edu/~chiarini/ Regards, UCLA Mathematics Department MS 6617F 520 Portola Plaza 90095 Los Angeles California, USA

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seminar announcement
by Marco Scarsini 18 Oct '19

18 Oct '19

Panayotis Mertikopoulos, CNRS Grenoble No-Regret Learning in Games Luiss Viale Romania, 32 Room 403 Friday 25 October, h 12:00 ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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seminar announcement
by Marco Scarsini 18 Oct '19

18 Oct '19

Michele Salvi, Université Paris Diderot Scale-Free Percolation as a Model for the Cattle Trading Network in France Luiss Viale Romania, 32 Room 207, Thursday 24 October, h 12:00 ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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First annoucement Energy Finance Italia EFI5: Rome, Februrary 10 - 11, 2020
by Tiziano Vargiolu 18 Oct '19

18 Oct '19

Dear All, we are glad to announce the fifth edition of the Energy Finance Italia Workshop - EFI5, which will be held in Rome, University of Roma Tre, next February 10-11, 2020. We will shortly be publishing the CfP with details on the website of the EFI Association http://energyfinanceitalia.unicam.it/ There you will find the information about the EFI Association and the previous editions of the workshop. Best regards Loretta Mastroeni Tiziano Vargiolu

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Seminar Cadonna @Bocconi
by Giacomo Zanella 18 Oct '19

18 Oct '19

We announce the following DEC Statistics seminar: Thursday, October 24 12:30 Meeting room 3-e4-sr03, Bocconi University, Via Roentgen 1, 3rd floor Annalisa Cadonna (Wirtschaftsuniversität Wien) Title: Hierarchical shrinkage in time-varying parameter models through the Triple Gamma prior Abstract: Time varying parameter (TVP) models are widely used in time series analysis, because of their flexibility and ability to capture gradual changes in the evolution dynamics of the model variables. The popularity of TVP state-space models in macroeconomics and finance is based on the evidence that, in most applications, the influence of certain predictors on the outcome variables varies over time. The risk of overfitting in TVP models is a well know issue, which increases with the dimension of the problem at hand, as only a small subset of the predictors might actually have a dynamic influence on the output variables. Hence, in the last decade, there has been a growing need for models and methods able to discriminate between time varying and static parameters in TVP models or, in other words, perform variance selection. We propose a new global local shrinkage prior for shrinkage of variances in TVP models, referred to as the Triple Gamma prior. The Triple Gamma prior extends to variance selection the Normal-Gamma-Gamma prior introduced in Griffin and Brown (2017) in the context of highly structured regression models. The Triple Gamma prior accommodates, as special or limit cases, the Bayesian Lasso, the Double Gamma prior, and the popular Horseshoe prior. Interesting properties of the triple gamma prior are outlined and an efficient Markov Chain Monte Carlo algorithm is developed. An extended simulation study is conducted and the proposed modeling approach is applied to real data, both in a univariate and a multivariate framework. The predictive performance of different shrinkage priors is compared in terms of log predictive density scores. Kind regards, Giacomo Zanella The DEC statistics seminars schedule is available at http://www.unibocconi.eu/statseminar Please note: if you are a guest and you do not have a Bocconi ID Card to access to the Bocconi Buildings, please communicate your participation by sending an email to arianna.colombo(a)unibocconi.it

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MAF 2020 - 9th International Conference MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE
by Marco Corazza 18 Oct '19

18 Oct '19

*SECOND CALL FOR CONTRIBUTIONS* *MAF 2020 - 9th International Conference MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE* *April 15-17, 2020 - Geneve (CH)* *https://www.unige.ch/maf2020/ <https://www.unige.ch/maf2020/>* * The Steering Committee is delighted to announce the 9th International Conference *MAF 2020*. * *MAF 2020* promotes interaction between *mathematicians* and *statisticians* in *actuarial sciences* and *finance*. * *MAF 2020* is open to *academicians* and to *professionals*, to encourage cooperation. * *MAF 2020* covers a *wide variety of subjects* in actuarial science and financial fields. * *MAF 2020* will be held at the *Université de Genève*, in *April 15-17*, *2020*. * *We invite submission of original contributions*. * *Important dates*: - Submission of 1-page abstracts: by November 22nd, 2019. - Notification of 1-page abstract acceptance: by December 13th, 2019. - Organized session proposals: by October 25th, 2019. - Notification of organized session acceptance: by November 8th, 2019. - Submission of short papers (facultative): by December 13th, 2019. - Notification of short paper acceptance: by December 30th, 2019. - Early bird registration: by December 20th, 2019. *The accepted short papers, at least 4 pages and at most 6 pages, will be included in a Springer Volume. * *Keynote speakers* - *Michael O'Neill*, Centre for Business Analytics, University College Dublin; - *Jaap Spronk*, Erasmus School of Economics (NEH) & Rotterdam School of Management - *Howell Tong*, London School of Economics and Political Science Apologies for cross-posting. The warmest regards, Marco CORAZZA | Ca'Foscari University of Venice (I) [Behalf of the Steering Committee] Manfred GILLI | University of Geneve (CH) Cira PERNA | University of Salerno (I) Claudio PIZZI | Ca'Foscari University of Venice (I) Marilena SIBILLO | University of Salerno (I) -- Nota automatica aggiunta dal sistema di posta.

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postdoc opportunity in Bern
by Fabio Bellini 16 Oct '19

16 Oct '19

A postdoc search from Johanna Ziegel (University of Bern): The Institute of Mathematical Statistics and Actuarial Sciences invites applications for the following position opening February 1, 2020. POSTDOC (80-100%) Oeschger Centre, University of Bern Compound weather and climate events refer to multiple climate events that potentially cause large societal impacts. The analysis and prediction of compound events pose substantial challenges from a statistical perspective. The prospective PostDoc will work at the interface of the development of statistical methods and their application to current topics of high interest in climate and weather applications. Potential topics include the evaluation of predictions for (joint) extreme events, the evaluation of multivariate or spatial predictions, and the calibration (or ``bias-correction'') of multivariate predictions. The PostDoc will be a part of the group of Prof. Dr. Johanna F. Ziegel (Institute of Mathematical Statistics and Actuarial Science). Close collaboration is planned with the group of Dr. Jakob Zscheischler (Physics Institute), and with the group of Prof. Dr. Olivia Romppainen-Martius (Institute of Geography). The position is ideally suited for a young researcher in statistics to become an expert in statistics for climate science and weather applications. Profile of the candidate The successful candidate holds a PhD in Statistics and has a strong interest in climate and weather applications, or he/she holds a PhD in Climate Science with a solid background in statistics. She/he has excellent programming and data handling skills, and a keen interest in interdisciplinary research. The candidate is proficient in English, both written and spoken. Details - Type of appointment: Full time or part time (80-100%) fixed term appointment for 2 years with the possibility of a 1 year extension after a positive evaluation. - Starting date: February 1, 2020 or upon agreement - Employment conditions and remuneration in accordance with the standards of the University of Bern, Switzerland. For further information please contact Prof. Dr. Johanna F. Ziegel ( johanna.ziegel(a)stat.unibe.ch) Applications All applications received before January 1, 2020 will be reviewed, and further applications will be considered until the position is filled. Please send your application documents including a CV, a motivation letter, and contact information for 3 references by e-mail to office(a)stat.unibe.ch. Homepage http://www.oeschger.unibe.ch/ http://www.stat.unibe.ch

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Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (6th edition)
by Irene Crimaldi 16 Oct '19

16 Oct '19

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (6th edition) Lake Como School of Advanced Studies Villa del Grumello, Como, Italy, 18-21 May 2020 https://ntmf.lakecomoschool.org/ *** DEADLINE FOR APPLICATION: February 23, 2020 *** Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline---including sociology, transportation, economics and finance, biology, and myriad others---and the study of "network science" has thus become a crucial component of modern scientific education. The school "Complex Networks: Theory, Methods, and Applications" offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields. LECTURERS --- REKA ALBERT, Pennsylvania State University --- GUIDO CALDARELLI, IMT Lucca --- MARTON KARSAI, Central European University --- JOSE FERNANDO MENDES, University of Aveiro --- NATASA PRZULJ, Barcelona Supercomputing Center ORGANIZING COMMITTEE STEFANO BATTISTON, University of Zurich --- GINESTRA BIANCONI, Queen Mary University of London --- VITTORIA COLIZZA, INSERM and Sorbonne Université, Paris --- JAMES GLEESON, University of Limerick --- PETTER HOLME, Tokio Institute of Technology --- YAMIR MORENO, University of Zaragoza --- CARLO PICCARDI, Politecnico di Milano --- MASON A. PORTER, UCLA PROGRAM Monday, 18 May, morning - Introduction to Complex Networks (Mendes) Monday, 18 May, afternoon - Statistical Physics of Networks (Caldarelli) Tuesday, 19 May, morning - Critical Phenomena in Networks (Mendes) Tuesday, 19 May, afternoon - short talks by students Wednesday, 20 May, morning - Computational Human Dynamics (Karsai) Wednesday, 20 May, afternoon - Analyzing the structure of biological networks (Albert) Thursday, 21 May, morning - Biological Networks (II) (Przulj) Thursday, 21 May, afternoon - Analyzing the dynamics and attractors of biological networks (Albert) For more information and application: https://ntmf.lakecomoschool.org/ Sponsored by SICC - Italian Society for Chaos and Complexity http://www.sicc-it.org -------------------------------------------- SICC - Societa' Italiana Caos e Complessita' e-mail info(a)sicc-it.org Web http://www.sicc-it.org -------------------------------------------- Click here <http://www.sicc-it.org/lists/lt.php?id=Lk4AGgNTHwsDVA0E> to opt-out from all future mailings. [image: powered by phpList 3.2.7, © phpList ltd] <http://www.sicc-it.org/lists/lt.php?id=Lk4DGgNTHwsDVA0E>

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Colloquium di Lorenzo Zambotti a Milano-Bicocca (lunedì 28 ottobre)
by Francesco Caravenna 15 Oct '19

15 Oct '19

Ho il piacere di annunciare il seguente Colloquium del Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca, congiuntamente con il Seminario Matematico e Fisico di Milano. Il giorno lunedì 28 ottobre 2019, alle ore 16:00, Lorenzo Zambotti (Sorbonne Université, Paris) terrà un colloquium dal titolo "Regularity structures: from physics to probability, from analysis to algebra, from combinatorics to geometry" Il seminario si terrà nell'aula 3014 (edificio U5, terzo piano, via Cozzi 55, Milano) e sarà seguito da un rinfresco. Segue l'abstract. Tutti gli interessati sono invitati a partecipare. Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% Abstract: In this talk I wish to present some of the ideas at the heart of the theory of regularity structures (RS), introduced by Martin Hairer in 2014. RS are perhaps best described as a theory of Taylor expansions in a fractal (random) setting. I plan to show how this theory is based on a fascinating interplay between several different disciplines, as announced by my title. %%%%%%%%%%%%%%%%%%%%%%%%%%%% _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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