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Fwd: Seminario Elena Di Bernardino a ROMA 1, 20 luglio 2017
by Nappo, Giovanna 17 Jul '17

17 Jul '17

Mi scuso per l'errore del cognome nel precedente messaggio Giovanna Nappo ---------- Forwarded message ---------- From: "Nappo, Giovanna" <nappo(a)mat.uniroma1.it> Date: Mon, 17 Jul 2017 13:38:50 +0200 Subject: Seminario Elena Bernardini a ROMA 1, 20 luglio 2017 To: random <random(a)fields.dm.unipi.it> SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA Guido Castelnuovo Università di Roma "La Sapienza" Piazzale A. Moro 5 . 00185 ROMA ***************************************************************************** Giovedì 20 luglio 2017, Ore 11,30 Aula di Consiglio Elena Di Bernardino CNAM, Paris (FRANCE) A test of Gaussianity based on the Euler characteristic of excursion sets Abstract: We deal with a stationary isotropic random field X:R^d→R and we assume it is partially observed through some level functionals. We aim at providing a methodology for a test of Gaussianity based on this information. More precisely, the level functionals are given by the Euler characteristic of the excursion sets above a finite number of levels. On the one hand, we study the properties of these level functionals under the hypothesis that the random field X is Gaussian. In particular, we focus on the mapping that associates to any level u the expected Euler characteristic of the excursion set above level u. On the other hand, we study the same level functionals under alternative distributions of X, such as chi-square, harmonic oscillator and shot noise. In order to validate our methodology, a part of the work consists in numerical experimentations. We generate Monte-Carlo samples of Gaussian and non-Gaussian random fields and compare, from a statistical point of view, their level functionals. Goodness-of-fit p−values are displayed for both cases. Simulations are performed in one dimensional case (d=1) and in two dimensional case (d=2), using R. ***************************************************************************************** Tutti gli interessati sono invitati a partecipare Giovanna Nappo

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Seminario Elena Bernardini a ROMA 1, 20 luglio 2017
by Nappo, Giovanna 17 Jul '17

17 Jul '17

SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA Guido Castelnuovo Università di Roma "La Sapienza" Piazzale A. Moro 5 . 00185 ROMA ***************************************************************************** Giovedì 20 luglio 2017, Ore 11,30 Aula di Consiglio Elena Di Bernardino CNAM, Paris (FRANCE) A test of Gaussianity based on the Euler characteristic of excursion sets Abstract: We deal with a stationary isotropic random field X:R^d→R and we assume it is partially observed through some level functionals. We aim at providing a methodology for a test of Gaussianity based on this information. More precisely, the level functionals are given by the Euler characteristic of the excursion sets above a finite number of levels. On the one hand, we study the properties of these level functionals under the hypothesis that the random field X is Gaussian. In particular, we focus on the mapping that associates to any level u the expected Euler characteristic of the excursion set above level u. On the other hand, we study the same level functionals under alternative distributions of X, such as chi-square, harmonic oscillator and shot noise. In order to validate our methodology, a part of the work consists in numerical experimentations. We generate Monte-Carlo samples of Gaussian and non-Gaussian random fields and compare, from a statistical point of view, their level functionals. Goodness-of-fit p−values are displayed for both cases. Simulations are performed in one dimensional case (d=1) and in two dimensional case (d=2), using R. ***************************************************************************************** Tutti gli interessati sono invitati a partecipare Giovanna Nappo

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Bando RTD-A, SECS-S/06, Università di Firenze
by Giacomo Scandolo 16 Jul '17

16 Jul '17

Il Dipartimento di Scienze per l'Economia e l'Impresa (DISEI), Università degli Studi di Firenze, ha bandito un posto di Ricercatore a Tempo Determinato di tipo A nel SSD SECS-S/06 (Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie). Il bando si trova al link: http://www.unifi.it/cmpro-v-p-11205.html Le domande di partecipazione vanno inviate esclusivamente con la modalità telematica descritta nel bando. Il termine ultimo per l'invio è il 10 agosto 2017. Cordiali saluti Giacomo Scandolo

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Data Science and Statistical Learning Post Doc positions - Human Technopole
by Piercesare Secchi 14 Jul '17

14 Jul '17

The Center for Analysis, Decision and Society of the Human Technopole, based in Milano, Italy (https://htechnopole.it/en/), is opening a few positions for post-doc in data science and statistical learning. Details can be found here: https://htechnopole.it/en/openings ------------------------------------------------ Piercesare Secchi MOX - Dipartimento di Matematica Politecnico di Milano Via Bonardi 9 20133 Milano - Italy tel. +39 02 2399 4592 fax. +39 02 2399 4568 e.mail: piercesare.secchi(a)polimi.it<mailto:piercesare.secchi@polimi.it>

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[Fwd: [gdre-conedp] Post-doctoral position at university Blaise Pascal (France)] (fwd)
by Tiziano Vargiolu 12 Jul '17

12 Jul '17

---------- Forwarded message ---------- Date: Wed, 12 Jul 2017 07:51:42 +0200 From: Fabio Ancona <ancona(a)math.unipd.it> To: users(a)math.unipd.it Subject: [Fwd: [gdre-conedp] Post-doctoral position at university Blaise Pascal (France)]

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2 postdocs in Geometry of Deep Learning and Reinforcement Learning at RIST
by Luigi Malagò 11 Jul '17

11 Jul '17

=========================================================== 2 postdoc positions in Machine Learning (1 year, renewable up to 3 years) Institution: RIST - Romanian Institute of Science and Technology, Cluj-Napoca Keywords: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry Application deadline: 30 July 2017 (applicants are encouraged to apply earlier) Salary: around 2190 euro net Official announcement: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for 2 postdoc positions, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 3 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 30 July 2017 (applicants are encouraged to apply earlier)

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Position of Lecturer/Senior Lecturer/Reader in Mathematics, University of Sussex
by Enrico Scalas 10 Jul '17

10 Jul '17

Car* Collegh*, al Dipartimento di Matematica dell'Universita' del Sussex stiamo reclutando in probabilita' e statistica. Vi prego di diffondere l'annuncio se conoscete persone interessate. I link sono: http://www.sussex.ac.uk/about/jobs/lecturer-senior-lecturer-in-mathematics-… http://www.jobs.ac.uk/job/BCQ418/lecturer-senior-lecturer-or-reader-in-math… Il profilo e': Applications are invited from all areas of mathematics strengthening and complementing the Department's research portfolio. Applications are particularly welcome from probability and statistics including, for example, mathematical statistics, rigorous data science, stochastic analysis, processes in random environments, and probabilistic modelling. Il bando contiene poi i link a "job description" e "person specification". Grazie per l'attenzione e cordiali saluti, Enrico Scalas Professor of Statistics and Probability Head of Department, Mathematics University of Sussex, UK

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deadline early-bird registration to the 11th ClaDAG Conference
by Francesca Greselin 10 Jul '17

10 Jul '17

---- We apologize for cross posting ---- Dear all, this is just a friendly reminder that *today* is the deadline for early-bird registration to the *11th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society * http://www.cladag2017.unimib.it/ For the 2017 edition of the Conference, the University of Milano-Bicocca, Bocconi University, Politecnico di Milano, University of Milano and Università Cattolica del Sacro Cuore are cooperating and supporting the event, that will be hosted at University of Milano-Bicocca. *Papers* Around 150 papers have been submitted for the Conference, for which the usual blind referee process has been carried out by the Scientific Program Committee, chaired by Francesco Mola. *Keynote speakers:* - J. Sunil Rao, <http://www.biostat.med.miami.edu/people/primary-faculty/sunil-rao> Division of Biostatistics, Department of Public Health Sciences University of Miami, Florida, USA, - *Classified Mixed Model Prediction*- Antony Davison, <http://statwww.epfl.ch/davison/davison.html> Institute of Mathematics, Ecole Poytechnique Federale de Lausanne, Switzerland - *Statistical models for complex extremes*- Roberto Rocci <http://economia.uniroma2.it/faculty/145/rocci-roberto>, Dipartimento di Economia e Finanza, Università degli studi di Tor Vergata, Rome, Italy - *An URV approach to cluster ordinal data* *Young researchers data challenge*Young researchers are invited to a data challenge, at Politecnico di Milano the day before the Conference, say on September 12, and sponsored by Oracle and Data Reply. Amazing prices are announced for the winners! *Statistical Challenges in Big Data & Complex Systems* A satellite Conference will take place on Tuesday September 12, at the University of Milano. More information will be available soon at http://www.cladag2017.unimib.it/ *Social dinner*The social dinner will take place on September 14th, in the *San Nazaro Porch* of the ancient “*Cà Granda*” complex, entrusted to the Tuscan architect Antonio Averlino, known as Filarete. Founded on 12 April, 1456 by the Duke of Milan Francesco Sforza and his wife Bianca Maria, the gigantic complex was built to provide medical care for the city’s poorest people. *Conference Proceedings* The Conference Proceedings will be published in digital edition with ISBN and distributed for free to all the Cladag2017 Participants. *Post conference publications* After the Conference, the Program Committee encourages authors of the best papers to submit an extended version for possible publication in the *Springer Series:* "Studies in Classification, Data Analysis, and Knowledge Organization", or alternatively to submit to a *special issue* of the following journals: Statistical Analysis and Data Mining <http://www.statisticsviews.com/details/journal/2285261/Statistical-Analysis…>, published on behalf of the American Statistical Association <http://www.amstat.org/>, and Statistics and Applications <http://statisticaeapplicazioni.vitaepensiero.it/> Both journals will offer the possibility to publish a selection of the best 10-15 papers presented at CLADAG 2017. Topics covered in these papers should be in line with the aims and scope of the journal and will undergo a regular review process. We look forward to see you in Milan on 12-15 September for CLADAG 2017! The organizing Committee

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Fwd: Ph.D. position at Imperial college
by Marco Romito 07 Jul '17

07 Jul '17

Roth Studentship in Stochastic Analysis (for EU student) Imperial college, London The studentship is for a project in stochastic analysis, to work with Professor Xue-Mei Li starting 1st October 2017 or as soon as possible. The candidate should have a strong background in two of the following topics: stochastic analysis and probability; real analysis; pdes; and differential geometry. For some idea about stochastic analysis on manifolds, please see http://www.xuemei.org/Homepage/Research.html, See also http://www2.warwick.ac.uk/fac/sci/maths/people/staff/xue_mei_li/. The interested students should apply directly to Imperial college, mention this particulars. Applicants are directed to this page: http://www.imperial.ac.uk/mathematics/postgraduate/phd/how-to-apply <http://www.imperial.ac.uk/mathematics/postgraduate/phd/how-to-apply/> ------------------------------------------------------------------------------------------------------- Xue-Mei Li Professor Mathematics Institute The University of Warwick Coventry CV4 7AL U.K. Tel 44 (0) 2476 528 319 --------------------------

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Avviso di seminario: Cardinali@DISMEQ (Dipartimento di Statististica e Metodi Quantitativi, Milano-Bicocca)
by Fulvia Pennoni 06 Jul '17

06 Jul '17

----------------------------------------------------------------------------- Dipartimento di Statistica e Metodi Quantitativi Via Bicocca degli Arcimboldi, 8 - 20126 Milano ----------------------------------------------------------------------------- “COSTATIONARY INFERENCE FOR LOCALLY STATIONARY TIME SERIES” Alessandro Cardinali School of Computing and Mathematics, Plymouth University University of Plymouth Lunedì 10 Luglio ore 14.00 Ed. U7, 2° piano, aula 2061 __________________________________________________________ Abstract: In this presentation we illustrate a novel inferential approach to estimate time-varying parameters of locally stationary time series. This approach is based on costationary combinations, that is, time-varying deterministic linear combinations of locally stationary time series that are second-order stationary. We first review the theory of costationarity and formalize a Generalised Method of Moments estimator for the coefficient vectors. We then use this new framework to derive an estimator for the (time-varying) covariance of locally stationary time series and we show that the new covariance estimator is more efficient than classical estimators exclusively based on the evolutionary cross-periodogram. We confirm our theoretical findings through a simulation experiment. We then present a new analysis of financial log-returns showing that our new estimator is capable to highlight well known economic shocks. As a second example of our approach we finally discuss forecasting of locally stationary time series based on costationary combinations. __________________________________________________________ Cordiali saluti Fulvia Pennoni -- Fulvia Pennoni Department of Statistics and Quantitative Methods University of Milano-Bicocca http://www.statistica.unimib.it/utenti/pennoni/

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Avviso di seminario: Cardinali@DISMEQ (Dipartimento di Statististica e Metodi Quantitativi, Milano-Bicocca)
by Fulvia Pennoni 06 Jul '17

06 Jul '17

----------------------------------------------------------------------------- Dipartimento di Statistica e Metodi Quantitativi Via Bicocca degli Arcimboldi, 8 - 20126 Milano ----------------------------------------------------------------------------- “COSTATIONARY INFERENCE FOR LOCALLY STATIONARY TIME SERIES” Alessandro Cardinali School of Computing and Mathematics, Plymouth University University of Plymouth Lunedì 10 Luglio ore 14.00 Ed. U7, 2° piano, aula 2061 __________________________________________________________ Abstract: In this presentation we illustrate a novel inferential approach to estimate time-varying parameters of locally stationary time series. This approach is based on costationary combinations, that is, time-varying deterministic linear combinations of locally stationary time series that are second-order stationary. We first review the theory of costationarity and formalize a Generalised Method of Moments estimator for the coefficient vectors. We then use this new framework to derive an estimator for the (time-varying) covariance of locally stationary time series and we show that the new covariance estimator is more efficient than classical estimators exclusively based on the evolutionary cross-periodogram. We confirm our theoretical findings through a simulation experiment. We then present a new analysis of financial log-returns showing that our new estimator is capable to highlight well known economic shocks. As a second example of our approach we finally discuss forecasting of locally stationary time series based on costationary combinations. __________________________________________________________ Cordiali saluti Fulvia Pennoni -- Fulvia Pennoni Department of Statistics and Quantitative Methods University of Milano-Bicocca http://www.statistica.unimib.it/utenti/pennoni/

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3-year Ph.D. position at Bielefeld University
by Giorgio Ferrari 06 Jul '17

06 Jul '17

Dear Colleagues, this is to announce a *3-year Ph.D. position at Bielefeld University* starting on *October 1, 2017*. The successful candidate will participate in the Collaborative Research Centre (CRC) 1283 "Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications" https://www.sfb1283.uni-bielefeld.de/Pages/home within the project C4 “Stochastic games of singular control and games of stopping”. More information on the post and on the application procedures can be found here http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/A… *DEADLINE FOR APPLICATION:* August 2, 2017 All the best, Giorgio Ferrari

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Postgraduate programmes at the University of Kent
by Fabrizio Leisen 03 Jul '17

03 Jul '17

Con preghiera di diffusione, Cordiali saluti, Fabrizio Leisen A postgraduate degree in Statistics from the University of Kent can open many doors both in industry and research. The taught programmes in Statistics and Statistics with Finance provide exemption from the professional examinations of the Royal Statistical Society and qualification for Graduate Statistician status. The School of Mathematics, Statistics and Actuarial Science has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. The School encourages all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes. The Statistics Group is forward-thinking, with varied research, and received high rankings in the Research Excellence Framework (REF) 2014 for research power and quality. For more information about postgraduate statistics programmes at Kent visit www.kent.ac.uk/smsas or contact the Admissions Officer: E: smsaspgadmissions(a)kent.ac.uk T: +44 (0) 1227 816050 -- Fabrizio Leisen Reader in Statistics School of Mathematics, Statistics and Actuarial Sciences Sibson Building, University of Kent, Canterbury, CT2 7FS http://www.kent.ac.uk/smsas/statistics/our-people/profiles/leisen_fabrizio.… http://sites.google.com/site/fabrizioleisen/

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Assegno di Ricerca Biennale (scadenza imminente)
by Federico Polito 28 Jun '17

28 Jun '17

Gentili colleghi, è aperta la procedura per l'assegnazione di un *assegno di ricerca biennale* nel Dipartimento di Matematica, Università di Torino. La ricerca verrà svolta all'interno del progetto "Memory in Evolving Graphs" (fondi Università di Torino / Compagnia di San Paolo). Sono apprezzate conoscenze di grafi aleatori e tecniche di cambi di tempo aleatori. Data prevista di inizio: Settembre/Ottobre 2017. Data ultima per chiudere la domanda: *Ore 12 del 14 luglio 2017* Bando: https://www.serviziweb.unito.it/albo_ateneo/?area=federico.polito@unito.itA… <https://www.serviziweb.unito.it/albo_ateneo/?area=Albo&action=Read_Download…> Procedura per la domanda: https://pica.cineca.it Maggiori dettagli qui: http://bandi.miur.it/bandi.php/public/fellowship/id_fellow/132390 Per ogni chiarimento o domanda potete scrivermi: federico.polito(a)unito.it Un saluto. Federico Polito -- Federico Polito Department of Mathematics University of Torino Via Carlo Alberto, 10 10123, Torino, Italy Email: federico.polito(a)unito.it Tel: +39 011 6702862 Web: www.federicopolito.it

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Seminario di Probabilita', La Sapienza
by Faggionato, Alessandra 27 Jun '17

27 Jun '17

Seminario di Probabilita' Mercoledi' 5 Luglio 2017, Ore 14.30, Aula C, Dipartimento di Matematica G Castelnuovo, Sapienza Speaker: V. Silvestri (Cambridge) Title: The reset time of Internal DLA Abstract: Consider Internal DLA on cylinder graphs of the form GxZ. How does a large cluster typically look like? How long does it take for the process to forget its initial profile? In this talk I will address these questions, explaining how the answer depends on the mixing properties of the base graph G. Joint work with Lionel Levine. -- ************************************************* 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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Position of Lecturer in Mathematics, University of Sussex
by Enrico Scalas 26 Jun '17

26 Jun '17

Car* Collegh*, al Dipartimento di Matematica dell'Universita' del Sussex stiamo reclutando in analisi numerica. Il motivo per cui segnalo l'annuncio su questa lista e' che possiamo anche prendere in considerazione candidature di persone che si occupano, per esempio, di analisi numerica di equazioni differenziali stocastiche, di equazioni differenziali stocastiche alle derivate parziali o di analisi rigorosa di algoritmi di Monte Carlo. Vi prego di diffondere l'annuncio se conoscete persone interessate che corrispondono al profilo. I link sono: http://www.sussex.ac.uk/about/jobs/lecturer-in-mathematics-2173 http://www.jobs.ac.uk/job/BCH117/lecturer-in-mathematics Il profilo e': Applications are invited from rigorous numerical analysts working in any area of numerical analysis and scientific computing; candidates at the interface with Mathematical Biology would be particularly welcome. Il bando contiene poi link a "job description" e "person specification". Grazie per l'attenzione e cordiali saluti, Enrico Scalas Professor of Statistics and Probability Head of Department, Mathematics University of Sussex, UK

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Seminars at SNS (Pisa), 29 July 2017
by Maria Elvira Mancino 26 Jun '17

26 Jun '17

Dear All, I am glad to announce the following two seminars at Scuola Normale Superiore on the 29th July 2017 14.30 Christa Cuchiero (University of Vienna) Title: (Probability) measure-valued polynomial diffusions Abstract: We introduce polynomial diffusions taking values in the space of (probability) measures on a Polish space, extending the finite dimensional notion of polynomial processes to the infinite dimensional case. Our main goal is tractable dynamic modeling of (probability) measures with applications in large equity markets, capital distribution curve and term structure modeling. In the case of probability measures we provide a characterization of the corresponding extended generators, prove well-posedness of the associated martingale problems and recover the well-known Fleming-Viot process as special case. We obtain uniqueness of the martingale problem by establishing a formula for the conditional moments of the solution, which in the finite-dimensional case reduces to a matrix exponential. 15.30 Short break 16.00 Josef Teichmann (ETH-Zurich) Title: Affine processes and non-linear (PI)DEs Abstract: Motivated by works Dynkin, McKean, LeJan/Sznitman, Henry-Labordere and many others we show an abstract representation property for solutions of non-linear (PI)DEs by affine processes. This allows on the one hand to establish original simulation algorithms, on the other hand even to come up with new types of existence results for DEs. (joint work with Christa Cuchiero). ------------------------------------------------------------------------------------ Everyone is invited to participate. For more information, please contact mariaelvira.mancino(a)unifi.it

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Announcement of two talks, probability seminar, University of Pisa, Tuesday, June 27, 11:00h - 13:00h
by Carina Geldhauser 25 Jun '17

25 Jun '17

Announcement of two talks in the probability seminar at the University of Pisa. DATE AND TIME: Tuesday, June 27, 11:00h - 13:00h LOCATION: Aula Seminari, Dipartimento di Matematica, Universita' di Pisa SPEAKER 1: Remi Catellier (Université de Nice Sophia-Antipolis) TITLE: Averaging along irregular curves and regularization of ODEs. ABSTRACT: Paths of some stochasic processes such as fractional Brownian Motion have some amazing regularization properties. It is well known that in order to have uniqueness in differential systems such as $dy_t = b(y_t) dt$, $b$ needs to be quite regular. However, the oscillations of a stochastic process added to the system will guarantee uniquneness for really irregular $b$. In this talk we will show how to solve the perturbed differential system with a certain stochastic averaging operator. As an application, we show that the stochastic transport equation driven by fractional Brownian motion has a unique solution when $u_0 \in L^{\infty}$ and $b$ is a possibly random $\alpha$-Hoelder continuous function for $\alpha$ large enough. This is a joint work with Massimiliano Gubinelli. After a short break, at around 12:15h, we will continue with a second talk by SPEAKER 2: Michel Nassif (ENS Rennes) TITLE: Introduction to interacting particle systems ABSTRACT: Interacting particle systems is a recently developed field in the theory of Markov processes with many applications: particle systems have been used to model phenomena ranging from traffic behaviour to spread of infection and tumour growth. We introduce this field through the study of the simple exclusion process. We will construct the generator of this process and we will give a convergence result of the spatial particle density to the solution of the heat equation. We will also discuss a variation of the simple exclusion process with proliferation. Everyone is invited to participare. For more information and a longer abstract of the first talk in pdf format, please contact carina.geldhauser(a)dm.unipi.it

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Seminario di Probabilità - Padova
by alessandra bianchi 23 Jun '17

23 Jun '17

Ho il piacere di invitarvi al seguente seminario, che si terrà Martedì 27 giugno alle ore 11:00 in aula 2AB40 del Dipartimento di Matematica dell'Università degli Studi di Padova. Speaker: Claudio Landim Affiliation: IMPA, Rio de Janeiro Title: Recent results on metastability and potential theory. Abstract: We give a brief introduction on the martingale approach to metastability. In the second part of the talk we consider the metastable behavior of non-reversible small perturbations of dynamical systems, providing a formula for the transition time between two wells. -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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PosdocPosition-PANORISK (fwd)
by Lucia Caramellino 22 Jun '17

22 Jun '17

---------- Forwarded message ---------- Date: Mon, 19 Jun 2017 14:20:28 +0200 From: Claude Martini <cmartini(a)zeliade.com> To: "cmartini(a)zeliade.com" <CMartini(a)zeliade.com> Subject: PosdocPosition-PANORISK Dear colleague, here is the announcement and description for a postdoc position in the ongoing PANORISK project: http://ira.univ-lemans.fr/en/recherche-1/post-doctoral-recruitment-2017.html -- Claude Martini CEO CMartini(a)zeliade.com https://www.linkedin.com/in/claude-martini/ Tel : +33 (0)1 40 26 17 81 Mob : +33 (0)6 84 71 15 57 Fax : +33 (0)1 40 26 17 81 Zeliade Systems 56, rue Jean-Jacques Rousseau 75001 Paris - France www.zeliade.com www.zanadu.io ____________________________________________________________________ Ce message et ses pièces jointes contiennent des informations confidentielles. Il est établi à l’intention exclusive de ses destinataires. Si vous n’en êtes pas destinataire, merci de le détruire et d’en avertir immédiatement l’expéditeur. Toutes diffusion, publication, totale ou partielle ou divulgation sous quelque forme que se soit non expressément autorisées de ce message, sont interdites. This e-mail and its attachments are confidential and intended solely for the addressees. If you are not the intended recipient of this message, then please delete it and notify the sender. Unauthorized publication, use, dissemination or disclosure of this message, either in whole or in part is strictly prohibited. ================================== Lucia Caramellino Dipartimento di Matematica Universita` di Roma "Tor Vergata" Via della Ricerca Scientifica I-00133, Roma, Italy www.mat.uniroma2.it/~caramell

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Mini Course at GSSI on "Information Spreading, Consensus and Community Detection"
by clementi＠axp.mat.uniroma2.it 22 Jun '17

22 Jun '17

LECTURER: Andrea Clementi (Universita' degli Studi TOR VERGATA) PERIOD: 11-12/07/2017 LOCATION: GSSI, L'AQUILA, http://cs.gssi.infn.it/contacts/ SCHEDULING: http://cs.gssi.infn.it/phd-program/calendar/ TITLE: Gossip Algorithms for Information Spreading, Consensus and Community Detection ABSTRACT: The course will focus on a set of analytic tools to analyze some basic epidemic processes in networks. 1) We start giving the main concepts and results on spectral graph theory and on expander graphs. 2) We analyze the convergence time of randomized gossip algorithms in graphs having good expansion properties. 3) We analyze some simple probabilistic dynamics that achieve fast and stable consensus. 4) We consider distributed averaging processes on well-clustered graphs and look at the metastable phase in which the states of the nodes reflect the hidden clusters of the graph. Contacts: Andrea Clementi (Universita' degli Studi TOR VERGATA), clementi(a)mat.uniroma2.it Mattia D'Emidio (GSSI), mattia.demidio(a)gmail.com

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Assegno di ricerca presso la Scuola Normale Superiore, Pisa
by Fabrizio Lillo 21 Jun '17

21 Jun '17

The call for a 16 month postdoc (assegno di ricerca) is open at the Scuola Normale Superiore di Pisa (Italy). The topic of the research is *Italian: **Esecuzione ottimale e dinamica di alta frequenza in mercati foreign exchange* *English: Optimal execution and high frequency dynamics in foreign exchange markets* and the research will likely be conducted in collaboration with the FX desk of HSBC (London) The details of the call are at Italian https://www.sns.it/bando/assegno-di-ricerca-denominato-%E2%80% 9Cesecuzione-ottimale-e-dinamica-di-alta-frequenza-mer cati-foreign-exchange%E2%80%9D English https://en.sns.it/bando/research-contract-named- %E2%80%9Coptimal-execution-and-high-frequency-dynamics-foreign-exchange The deadline is July 10. I would be grateful if you could forward this message to any potentially interested candidate. The interested candidates can either contact me (fabrizio.lillo(a)sns.it) or the addresses in the call in case they need further information. Thanks and all the best, ---------------------------------------- Fabrizio Lillo Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa ITALY New website: fabriziolillo.wordpress.com phone: +39 050509159 <+39%20050%20509159>

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Post-doc position at Inria Grenoble (France)
by Julyan Arbel 20 Jun '17

20 Jun '17

Dear all, there is an open post-doc position in Bayesian nonparametrics at Inria Grenoble (France), starting in the fall of 2017. Application deadline is very short (by the end of next week). Interested people can contact me. Best Julyan Julyan Arbel http://www.julyanarbel.com/ <http://www.julyanarbel.com/>

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Borsa di Dottorato - Università Franco-Italiana
by gianmario tessitore 16 Jun '17

16 Jun '17

Con preghiera di diffusione. E' aperta la call for candidates per una borsa di dottorato dell'Università franco-italiana da svolgersi tra l' ENSTA ParisTech (Université Paris-Saclay, Ecole doctorale de mathématiques Hadamard) e l' Università Milano-Bicocca (Dottorato in Matematica Milano-Bicocca, Pavia, INdAM) con inizio il primo Ottobre 2017. Allego descrizione precisa delle tematiche di ricerca e del profilo del candidato richiesto. cordiali saluti Gianmario Tessitore

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PhD course Gianluca Fusai in Bicocca
by Valeria Bignozzi 16 Jun '17

16 Jun '17

La prossima settimana, si terrà un corso di dottorato dal titolo “Option Pricing”, per il Dottorato in Statistica e Finanza Matematica, presso l'Università di Milano Bicocca. Le lezioni saranno tenute dal prof. Gianluca Fusai, dell’ Università degli Studi del Piemonte Orientale. La partecipazione al corso è libera, ma occorre registrarsi inviando una mail alla dott.ssa Nicoletta Alghisi (nicoletta.alghisi(a)unimib.it). Le lezioni si terranno nei giorni: Lunedì 19 Giugno ore 10:00-12:30 e 14:00-17:30 Venerdì 23 Giugno ore 10:00-12:30 e 14:00-17:30 presso l’Aula 2062, secondo piano dell’edificio U7, Via Bicocca degli Arcimboldi 8, 20126 Milano. Programma: We revisit the most important stochastic models and theur use for pricing plain vanilla and exotic derivative products. In particular in the course we will address: * Plain vanilla, exchange, Asian and barrier options. * Analytical and numerical methods (including PDE, quadrature, eigenfunction expansion, Laplace transform). * Gaussian and Non Gaussian models: GBM, Square-root, CEV, Lévy, Heston models: main properties and applications to option pricing using Fourier Transform techniques. * Interest rate models and pricing of swaps, caps and swaptions. * If time allows recent reseults on pricing via Hilbert transform and Wiener-Hopf factorization will be also illustrated. Participants are welcome to bring their laptop because numerical examples will be discussed using Matlab. Prerequisite: Basic knowledge of option payoffs, properties of the Bronwian motion, Ito's lemma Instructor: Gianluca Fusai ssrn page: http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=74196 -------------------------------------------------------------------------------- _______________________________________________ Random mailing list Per informazioni e per disiscriversi: https://fields.dm.unipi.it/listinfo/random Per contattare gli amministratori: random-admin(a)fields.dm.unipi.it Per inviare un messaggio alla mailing list: Random(a)fields.dm.unipi.it Archivio dei messaggi inviati: https://fields.dm.unipi.it/pipermail/random

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