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Seminar by Luca Sitzia (UniCredit) in Padova
by Giorgia Callegaro 11 May '22

11 May '22

Dear all, we are happy to announce the following seminar of the cycle "Probability and Finance Seminars" of the Mathematics Department in Padova, which will be given in presence (Torre Archimede, Padova, see below) and online (Via Zoom, see below): * *Speaker*: Luca Sitzia (UniCredit) * *Title*: *A neural network approach for the estimation of mortgage prepayment rates * * *Where: *sala riunioni 701 Torre Archimede, Padova ** When*: 27th May 2022, 4.30 pm. For more details and to get the Zoom link please visit the webpage: https://www.math.unipd.it/~bianchi/seminari/ Hope to see you there, best, Giorgia Callegaro, Marco Formentin and Alessandra Bianchi -- Giorgia Callegaro Associate 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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Fwd: Workshop "Junior Female Researchers in Probability", Berlin, Oct 5-7
by Luisa Andreis 11 May '22

11 May '22

Care colleghe e cari colleghi, Vi inoltro l’annuncio per del workshop "Junior Female Researchers in Probability", che si terrà a Berlino ad ottobre e vi prego di diffonderlo con chiunque crediate possa essere interessata. Cordiali saluti, Luisa Andreis —————————————————— Dear colleagues, we would like to draw your attention to the fourth workshop for "Junior female researchers in probability”, 5-7 October 2022. The aim of this workshop is to promote young female researchers by giving them an opportunity to present their own work, build a network and hear distinguished mathematicians who can inspire them to pursue a fulfilling career in probability. Keynote speakers: Sylvie Méléard (École Polytechnique) Silke Rolles (TU Munich) Invited speakers: Alessandra Bianchi (Padova) Lisa Hartung (Mainz) Alexandra Neamtu (Konstanz) Kim Weston (Rutgers) The workshop is planned as an in-person event in Berlin. We warmly invite those who identify as female to submit abstracts for contributed talks, and apply for financial support for traveling to Berlin in case we can have a hybrid event. However, please be aware that being unable to travel should not restrain from submitting an abstract. There are special travel grants for female master students interested in gaining some insight into research and getting in touch with researchers. Of course everybody is very welcome to participate, but presentations and financial support are reserved for female participants. Deadline for submission of abstracts and funding requests: June 30, 2021. Please pass this information on to interested master students, PhD students and postdocs as well as your colleagues! More details can be found on our website: https://www.google.com/url?q=https://www.wias-berlin.de/workshops/JFRP22/&s… <https://www.google.com/url?q=https://www.wias-berlin.de/workshops/JFRP22/&s…> Best regards, Peter Bank, Dörte Kreher, Laura Körber, Helena Kremp, Alexandra Quitmann, Isabell Vorkastner, Weile Weng, and Maite Wilke-Berenguer

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Seminario Martin Friesen, domani ore 16:00
by Michele Coghi 11 May '22

11 May '22

Cari colleghi, vi annunciamo il prossimo talk nel ciclo "Trento Probability Seminars" *Asymptotics of stochastic Volterra equations* *Luogo:* l'evento si terrà in presenza in Aula Seminari "-1" a Povo0 e per via telematica attraverso collegamento alla piattaforma Zoom. Per partecipare sarà necessario collegarsi al link seguente ed inserire i codici di accesso (da condividere solo con contatti fidati): https://unitn.zoom.us/j/86014416487 Meeting ID: 860 1441 6487 Passcode: 809071 *Data:* Giovedì 12 maggio *Ore:* 16:00 *Relatore:* - *Martin Friesen* (Dublin City University) *Abstract: *In this talk, we review recent results on the long-time behavior, that is limiting distributions and stationary processes, for stochastic Volterra equations in finite and infinite dimensions. These include the Volterra Ornstein-Uhlenbeck process, affine processes, and Volterra stochastic partial differential equations. Saluti, Michele

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Deadline approaching: A day on random graphs
by mic sal 11 May '22

11 May '22

Dear all, this is to remind you that the deadline for the (free but compulsory) registration to the workshop "A day on Random Graphs" is on the 15th of May. Should you miss the deadline, you can write to salvi(a)mat.uniroma2.it to check if there is still place available. The workshop will take place at Università di Tor Vergata on the 30th of May (see poster in attachment) and is part of the Excellence Program Math@TOV. The invited speakers are Luca Avena (Leiden University) Afonso Bandeira (ETH Zürich) Luca Becchetti (La Sapienza) Julia Komjathy (TU Delft) Luca Trevisan (Bocconi) For more information see http://www.mat.uniroma2.it/~rds/graphs.php . The organizers, Andrea Clementi, Domenico Marinucci, Michele Salvi, Stefano Vigogna

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Seminar in Pisa: Darrick Lee
by Francesco Grotto 10 May '22

10 May '22

Dear Colleagues, we would like to invite you to the following seminar by Darrick Lee (EPFL) to be held tomorrow (May 10th) at Dipartimento di Matematica in Pisa and online via Google Meets. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: May 10th, 2022, 14:00-15:00 CET Speaker: Darrick Lee (EPFL) Title: Mapping Space Signatures Abstract: The path signature is a foundational tool in the theory of rough paths. In this talk, we introduce the mapping space signature, a generalization of the path signature to maps from higher dimensional cubical domains, which is motivated by the topological perspective of K. T. Chen. We show that the mapping space signature shares many of the analytic and algebraic properties of the path signature; in particular it is universal and characteristic with respect to a certain equivalence relation on cubical maps. This is joint work with Chad Giusti, Vidit Nanda, and Harald Oberhauser.

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Workshop on Chemical Reaction Networks at Politecnico
by Daniele Cappelletti 09 May '22

09 May '22

Dear all, As announced in a previous email, Politecnico di Torino is organizing the second edition of the *Workshop on Chemical Reaction Networks*, 6-8 July, 2022, Torino, Italy. We are writing to inform you that *the deadline for* *the registration is extended to May 22nd*. You can find more info on the topics covered and on the logistics of the workshop at https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop <https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.…> Sorry for cross-posting and please forward this info to all potentially interested people you may know, especially to the youngest. With kindest regards, the organizers Daniele Cappelletti Enrico Bibbona Paola Siri

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Seminar by M. Burzoni in Verona (hybrid)
by Alessandro Gnoatto 09 May '22

09 May '22

Matteo Burzoni (University of Milan) will give a talk at the Department of Economics – University of Verona. Date: 11/05/2022 @ 12:00 (Rome Time) Title: On adjusted risk measures Abstract: We introduce different ways of adjusting classical risk measures in different contexts. We mainly discuss the properties of a new class of convex risk measures that robustifies Expected Shortfall by simultaneously controlling the expected losses associated with different portions of the tail distribution. The key element is a benchmark risk profile g which allows, at the same time, to tailor the risk assessment to the specific application of interest. The resulting risk measure is intimately connected with second-order stochastic dominance. A second way of adjusting and robustifying risk measures is presented in a systemic risk framework which is not based on any probabilistic assumption. If you would like to attend via Zoom, please register at the following link, we will send you the login details: https://docs.google.com/forms/d/e/1FAIpQLSeE2_EoaT3z70C7nUzokfeg5PTb5dyDXxZ… <https://docs.google.com/forms/d/e/1FAIpQLSeE2_EoaT3z70C7nUzokfeg5PTb5dyDXxZ…> -- Alessandro Gnoatto Dipartimento di Scienze Economiche Università degli Studi di Verona Via Cantarane 24 37129, Verona, Italy Room 1.05 Tel: +39 045 802 8537 Homepage: www.alessandrognoatto.com E-mail: alessandro.gnoatto(a)univr.it -------------------------------------------------- View my research on my SSRN Author page: http://ssrn.com/author=1615989 --------------------------------------------------

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PhD position and professor position
by Enrico Priola 06 May '22

06 May '22

Segnalo un messaggio di Markus Riedle (King's College London) Cari saluti Enrico Priola %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Dear Enrico, I'm writing you to let you know that I am currently looking for a new PhD student. It is a joint position with TU Dresden in Germany: https://www.verw.tu-dresden.de/StellAus/download.asp?file=05-2022\Behme_WIM… If you know a good candidate for this position, please encourage them to apply. On the other side of the career spectrum, our department is currently hiring a professor in probability theory. If you know somebody appropriate, please forward the advert or ask them to get in contact with me for any further questions: https://jobs.kcl.ac.uk/gb/en/job/044648/Professor-Reader-in-Probability Many thanks, Markus %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Summer School Causal Inference - Trento, 11-15 July 2022
by Claudio Agostinelli 06 May '22

06 May '22

Registration is open for a summer school in *Causal inference* at the university of Trento this 11-15 July! More info at: http://datascience.maths.unitn.it/events/ci2022/ Deadline for registration: 15 June Hope to see you there! Veronica and Claudio

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Seminario di Probabilità - Roma La Sapienza
by Faggionato, Alessandra 05 May '22

05 May '22

Buongiorno, il Prof. Sebastian Andres terrà un seminario in Sala di Consiglio al Dipartimento di Matematica dell' Università La Sapienza , Lunedì 9 Maggio alle ore 16:00 (sotto i dettagli). Grazie dell'attenzione Saluti Alessandra %%%%%%%%%%%%%%%%%%%%%%%%%% Time: Monday 9 May 2022, at 16:00 Rome: Sala di Consiglio, Department of Mathematics, Sapienza University of Rome Speaker: Sebastian Andres (Manchester University) Title: First passage percolation with long-range correlations Abstract: In this talk we consider first passage percolation (FPP) with passage times generated by a general class of models with long-range correlations, including discrete Gaussian free fields as a prominent example. We will discuss conditions under which the associated time constant is positive and the FPP distance is comparable to the Euclidean distance. We will also present two applications to random conductance models (RCM) with possibly unbounded and strongly correlated conductances, namely a Gaussian heat kernel upper bound for RCMs with a general class of speed measures, and an exponential decay estimate for the Green function of RCMs with random killing measures. This talk is based on a joined work with Alexis Prévost (Cambridge). -- ************************************************* 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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seminario G.Ascione - Sapienza 11 maggio
by Luisa Beghin 05 May '22

05 May '22

Buongiorno, vorrei segnalare il seguente seminario: *Mercoledì 11 maggio 2022* Ore 14:30, Aula 34 (quarto piano), Dipartimento di Scienze Statistiche, Sapienza Università di Roma e online al seguente link meet.google.com/dwz-gvib-uoj *Titolo:* A sojourn-based approach to discrete-time semi-Markov decision processes *Speaker*: Giacomo Ascione (Scuola Superiore Meridionale) *Abstract:* Up to now, there is an extensive literature on stepped continuous-time semi-Markov decision processes. Such models generalize the classical continuous-time Markov chain decision processes by allowing for different distributions of interevent times. However, in such models, the decision is always taken in a change of state, so that it influences a priori the distribution of the inter-event times. For such a reason, these models do not allow for decision depending on intermediate observations of the system. In this talk we address the problem of intermediate observations by modelling the system as a finite horizon discrete-time semi-Markov process, thus assuming discrete observations of the system, and allowing possible decisions at each time step. To do this, we first provide an alternative characterization of discrete-time semi-Markov processes in terms of a bivariate Markov chain, involving both the state and the sojourn time of the process. Once this is done, one can use the dynamic programming principle to exploit optimal policies for the discrete-time semi-Markov decision process by resorting to the bivariate Markov formulation. With this approach we are able to exhibit the Bellman’s equation for both the value and the quality function. The latter is then used to develop a model-free reinforcement learning algorithm based on Watkins and Dayan’s Qlearning algorithm, together with a first naive attempt towards a deep reinforcement learning one. Two exploratory toy examples are provided. This is based on a joint work with Salvatore Cuomo from Università degli Studi di Napoli Federico II. Cordiali saluti. Luisa *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ *****************************************************************

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Call for Papers International Fintech Research Conference [Politecnico di Milano 27-28 October 2022]
by Luca Di Persio 05 May '22

05 May '22

Dear all. we are glad to announce the following: Call for Papers International Fintech Research Conference Finance, technology, methodologies Fintech Research Network Politecnico di Milano 27-28 October 2022 The Conference aims to put together researchers working in all areas of Fintech (banking, asset management, insurance, payments, capital markets, internet of things) providing a multidisciplinary venue. Contributed papers are welcome in all Fintech research fields such as (but not limited to): theoretical analysis of the fintech domain (finance and economic analysis), machine learning applications to finance, cryptocurrencies, digital currency, cybersecurity, neural networks approaches in FinTech, smart contracts, peer to peer finance, big data analysis, nowcasting, text analysis in finance, blockchain technologies, network analysis in finance, behavioral finance. Keynote speakers: * Petros Dellaportas, UCL-London Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data * Leonardo Gambacorta, Bank of International Settlements, TBD * Mario Wuethrich, ETH-Zurich Discrimination-Free Insurance Pricing * David Yermack, Stern Business School, New York University, TBD The Conference is intended to be the first edition of an annual initiative that will be hosted by the building blocks of a large researchers/universities network. Scientific committee: Emilio Barucci (chair), Andrea Consiglio, Stefania Corsaro, Luca Di Persio, Massimiliano Ferrara, Gianna Figà Talamanca, Paolo Giudici, Daniele Marazzina, Silvia Muzzioli. Deadline for submitting an extended abstract/paper: August 31st, 2022. Please note that, except for the social dinner, no fee is required to conference participation. https://www.fintechlab.it/fintech_conference2022/ The initiative is promoted by: Fintech Research Network https://www.fintechlab.it/network/ The Fintech Research Network is steered by a group of researchers working in all areas of Fintech, whose main aim is to develop proactive research initiatives such as conferences, summer schools, workshops, seminars, research projects within the FinTech framework broadly intended. On behalf of the scientific committee, LuCa __ Luca Di Persio - PhD College of Mathematics Dept. of Computer Science University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Official UniVr spinoff: www.hpa.ai <http://www.hpa8.com>

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(PMS)^2 online talk: Michele Salvi - May 9, 17:30
by Maurizia Rossi 04 May '22

04 May '22

Dear colleagues, We are happy to announce the following online talk: Speaker: *Michele Salvi* (Università di Roma "Tor Vergata") Title: *Scale-free percolation mixing time.* Abstract: Scale-free percolation is a spatial inhomogeneous random graph model which features three fundamental properties that are often present in real-world networks: (1) Scale-free: the degree of the nodes follows a power law; (2) Small-world: two far-away nodes have typically a small graph distance; (3) Positive clustering coefficient: two nodes with a common neighbour have a good chance to be linked. We study the mixing time of the simple random walk on this structure in one dimension and depict a rich phase diagram in the parameters of the model. In particular, we prove that the presence of hubs can speed up the mixing of the chain. Joint work with Alessandra Cipriani (UCL). *Date and time:* Monday May 9, 17:30-18:30 (Rome time zone) *Zoom link:* https://us02web.zoom.us/j/6815552946 This talk is part of the *(PMS)^2*: *Pavia-Milano Seminar series on Probability and Mathematical Statistics* organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. Participation is free and welcome! Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella) -- Maurizia Rossi Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca https://mauriziarossi.wordpress.com

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[Reminder] A Spring Day in Probability and Statistical Mechanics - 6 Maggio
by Gianmarco Bet 03 May '22

03 May '22

Care colleghe e colleghi, Vi ricordiamo che questo Venerdì 6 Maggio si terrà la decima giornata di seminari: A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 6 May 2022 Lecturers: Nina Gantert (Munich) and Senya Shlosman (Marseille) Location: Anfiteatro (piano terra), Viale Morgagni 65, Firenze Informazioni su come arrivare: https://www.dimai.unifi.it/vp-285-come-arrivare-how-to-get.html <https://www.google.com/url?q=https://www.dimai.unifi.it/vp-285-come-arrivar…> Note pratiche: stiamo prenotando un catering con cibi vegerariani e non, percio` abbiamo bisogno del numero di persone che vogliono partecipare al pranzo. A coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare al pranzo. https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn… <https://docs.google.com/forms/d/e/1FAIpQLSeOv78KC4hNE_g-Z_hMSctDsxqh0435SUn…> PROGRAMMA Prof. Nina Gantert (Technical University of Munich) Title: Mixing times for exclusion processes Prof. Senya Shlosman (CPT Luminy, Marseille) Title: Random surfaces in statistical mechanics Program: 11.00-11.45 Introductory lecture: Gantert 11.45-12.00 Break 12.00-12.45 Seminar: Gantert 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Shlosman 15.15-15.30 Break 15.30-16.30 Seminar: Shlosman Local Organizers: G. Bet, L. Andreis Scientific advisory committee: 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, 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 https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p… <https://sites.google.com/unifi.it/florence-probability-group/home/days-in-p…> Vi aspettiamo numerosi Gianmarco Bet e Luisa Andreis Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy ---------------------------------------------------------------------- Gianmarco Bet (he/him) Junior researcher https://gianmarco.bet Phone: (+39) 055 2751491 Department of Mathematics and Informatics "U. Dini" University of Florence Viale Morgagni, 65 50134 Firenze, Italy Office 64 ----------------------------------------------------------------------

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Assegno di ricerca a Parma
by Davide Addona 03 May '22

03 May '22

Cari tutti, Vi segnalo che al link https://www.unipr.it/node/32439 <https://www.unipr.it/node/32439> È pubblicato il bando per un assegno di ricerca presso il Dipartimento di Scienze matematiche, fisiche e informatiche dell’Università di Parma. Gli argomenti di ricerca sono: - Analisi in dimensione infinita; - Calcolo di Malliavin; - Equazioni differenziali stocastiche. Vi chiedo di diffondere la notizia vai possibili interessati. Grazie Davide Addona

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Course Dmitri Koroliouk: Introduction into Neural Networks and Deep Learning
by mic sal 03 May '22

03 May '22

Dear all, from May 11th until June 30th, Dmitri Koroliouk (Kiev university) will give a course at Tor Vergata university with title Introduction into Neural Networks and Deep Learning The schedule of the course, the venue and the topics treated in each lecture can be found in the file in attachment. This course is part of the Excellence Project Math@TOV. You can find a summary of this and the other events organized by the newly established RoMaDS center at the following link: https://www.mat.uniroma2.it/~rds/events.php .

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Manifestazioni di interesse RTD-B MAT/06 a Parma
by Francesco Morandin 03 May '22

03 May '22

Salve a tutti, vorrei raccogliere manifestazioni di interesse qualificate per una posizione RTD B in probabilità (MAT/06) che potrebbe essere bandita nel prossimo futuro presso il Dipartimento di Scienze Matematiche, Fisiche e Informatiche di Parma. Gli interessati sono incoraggiati a contattarmi, anche per informazioni e chiarimenti. -- Francesco Morandin -- frmor.net Department of Mathematical, Physical and Computer Sciences Parma University -- sfmi.unipr.it To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. (R.A. Fisher)

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PhD course Long time asymptotic and criticality in random dynamics (Mariani-DiGesù)
by Dario Trevisan 02 May '22

02 May '22

Dear all, during May, prof. Mauro Mariani will be INdAM Visiting Professor at the University of Pisa, and will deliver a the first half of a PhD Course on Long time asymptotic and criticality in random dynamics (abstract below). The second half will be later given by Giacomo di Gesù (Sapienza Università di Roma). The format will be blended, in presence and online using Microsoft Teams. The first lecture is scheduled on Thursday, May 5th, at 11 am, at Aula Seminari of the Department of Mathematics (Largo Bruno Pontecorvo, 5, first floor) and online at the link https://teams.microsoft.com/l/meetup-join/19%3aNPe79QEwg0BQ31oFUsis6tD5qgF2… Dates and times later lectures are possibly subject to changes, but are now tentatively scheduled every Thursday and Friday, 11 am, same room (Aula Seminari), starting from Thursday 12th. No lecture will be delivered on Friday 6th. Please feel free to forward this message to anyone who might be interested, and write me if you want to be added to the Team (to access records of the lectures and further material). Regards, Dario Trevisan %%% Abstract: The qualitative behavior of random evolutions in the long time asymptotic is a classical subject, which has recently found new motivations in high dimensional optimization. The course provides an introduction to classical and recent results concerning the long time behavior of some classes of Markov processes. In the first part, we will introduce some tools typical of potential theory in an elementary context, with focus on the reversibility non-reversibility paradigm. In the second part of the class, we will focus on establishing some recent results for more involved models and infinite-dimensional dynamics. 1. Ergodicity and long time behavior of Markov processes. 2. Potential theory and spectral analysis for processes on graphs. 3. Applications to statistical mechanics models. -- 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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Procedura selettiva 2022RUA03 - RTDa 13D1
by Alessandra Fabbri Colabich 02 May '22

02 May '22

Buongiorno, è stato pubblicato il Bando relativo all'indizione di una procedura selettiva per posti da Ricercatore a tempo determinato RTD-A, di cui uno nel settore concorsuale 13D1 presso il Dipartimento di Scienze Statistiche dell’Università degli Studi di Padova. Il bando è disponibile all’indirizzo: https://www.stat.unipd.it/procedura-selettiva-2022rua03 La *scadenza* per la presentazione delle domande è il *30 maggio 2022 alle ore 13*. Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche [image: Ottocento anni di libertà e futuro]

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Seminar in Pisa: Jules Pitcho
by Francesco Grotto 02 May '22

02 May '22

Dear Colleagues, we would like to invite you to the following seminar by Jules Pitcho (UZH) to be held this Wednesday (May 4th) at Dipartimento di Matematica in Pisa and online via Google Meets. The organizers, A. Agazzi and F. Grotto -------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: May 4th, 2022, 14:00-15:00 CET Speaker: Jules Pitcho (UZH - Universität Zürich) Title: Since the work of Di Perna-Lions and Ambrosio, it is known that the continuity equation with divergence-free Sobolev vector field is well-posed for densities with suitable integrability. At the Lagrangian level, these works translate into a selection principle for integral curves under which uniqueness for almost every initial data is true. Nevertheless, uniqueness of integral curves can fail almost everywhere. The deterministic technique used to construct such divergence-free Sobolev vector fields and non-unique integral curves go by the name of convex integration: we will explain some of the ideas underlying this technique. We will conclude by arguing that for rougher vector fields, a genuinely stochastic behaviour of integral curves is to be expected: we should not hope for an almost everywhere selection principle for integral curves.

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First Italian School on Geometric Deep Learning
by c.ceci＠unich.it 30 Apr '22

30 Apr '22

We are delighted to announce that the "First Italian School on Geometric Deep Learning" will take place in Pescara, Italy, from 25th to 28th of July, 2022. The school will be held in person. https://www.sci.unich.it/geodeep2022/ for details. Confirmed teachers are Michael Bronstein, Cristian Bodnar and Francesco Di Giovanni. They will introduce the mathematical foundations of geometric deep learning, discuss the current state of the art, and highlight future research directions and open problems. The intended audience includes PhD students in Computer Science, Mathematics, Physics and Statistics, as well as postdoctoral fellows and young researchers. Any quantitative-oriented student is welcome, and a list of prerequisites will be provided. Limited funding is available to partially support selected students. The application form, as well as additional information and updates, can be found on the webpage https://www.sci.unich.it/geodeep2022. The deadline for registration is 15th of June, but for organizing reasons we ask you to register as soon as possible. No payment is required at registration time. Please spread the news to everybody potentially interested. We look forward to seeing you in Pescara! The organizers, Gianluca Amato Daniele Angella Claudia Ceci Rita Fioresi Luigi Ippoliti Francesco Morandin Maurizio Parton Francesca Scozzari

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PhD call in Modeling and Data Science at the University of Turin
by Elvira Di Nardo 30 Apr '22

30 Apr '22

There are 6 fully funded PhD scholarships in the framework of the PhD in Modeling and Data Science at the University of Turin (Italy), coordinator Prof. Laura Sacerdote (one scholarship is reserved to the project founded by Hub Editoriale, see the list of projects below). The scholarship is for three years, starting from 1st November 2022. The PhD program is interdisciplinary, and it involves branches of mathematics, informatics, economics, statistics, and physics. Website of the PhD: *https://dottorato-mds.campusnet.unito.it/do/home.pl <https://dottorato-mds.campusnet.unito.it/do/home.pl>* The official language is English. The call is now open. All interested candidates have to submit their application online: *https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.html <https://www.phd.unito.it/do/home.pl/View?doc=Submitting_your_application.ht…>* Deadline for applying is *31st May 2022, h 12:00 noon (CEST Time)* Notice that the application requires two reference letters, which should be submitted via the same link *by the referees before the application deadline*. The referees will be able to submit their letters only after the candidate has input all the required information and closed their (part of the) application. If the letters are not submitted by the deadline the application will not be valid. The positions are assigned to specific research projects which are discussed during the interview together with the related scientific skills. The list of the available projects - with a short description - is available at the following link (the project funded by Hub Editoriale is the last on the list) https://dottorato-mds.campusnet.unito.it/do/home.pl/View?doc=/content/Proje… More information, including the official call and all relevant deadlines, at the following link https://www.dottorato.unito.it/do/home.pl/View?doc=Bando_XXXVIII_ciclo.html where any additional scholarships and apprenticeship contracts (Legislative Decree no. 81/2015 art.45), which may become available after the publication of the call, will be also announced until the deadline. Please feel free to circulate this message to potentially interested people. Kind regards EDN -- %------------------------------------------------------- Elvira Di Nardo Dept. Mathematics "G. Peano" University of Torino Via Carlo Alberto 10 10123 Torino, Italia tel. +39 0116702862 fax +39 0116702878 http://www.elviradinardo.it %-------------------------------------------------------

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Fwd: Summer School + workshop on Reaction Networks
by Siri Paola 28 Apr '22

28 Apr '22

Dear all, Politecnico di Torino is organizing the second edition of the following two events on Chemical Reaction Networks 1) Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA). More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html 2) Workshop on Chemical Reaction Networks, 6-8 July, 2022, Torino, Italy This second event is taking place at Politecnico di Torino, and will cover both stochastic and deterministic Chemical Reaction Networks, modelling and inference. More info at https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.… Sorry for cross-posting and please forward this info to all potentially interested people you may know, especially to the youngest. With kindest regards, the organizers Daniele Cappelletti Enrico Bibbona Paola Siri Paola Siri Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino [cid:CE94D5CE-9C91-4F1E-9103-B02B2933C421]

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Call for papers - Workshop on 'Model Evaluation and Causal Search: Empirical and Experimental Approaches' - 25-27 September 2022, Pisa (Italy)
by Francesco CORDONI 27 Apr '22

27 Apr '22

Dear colleagues, We would like to invite you to submit your research to our workshop on "Model Evaluation and Causal Search: Empirical and Experimental Approaches" hosted by the University of Pisa and Sant'Anna School of Advanced Studies on *25-27 September 2022 in Pisa (Italy)*. Each paper will have a discussant. Regular sessions will be introduced by our keynote speakers: *Daniela Puzzello* (Indiana University), *Thomas Lux* (University of Kiel), *Alessio Sancetta* (Royal Holloway, University of London), and *Tobias Henschen *(University of Cologne). The organization will sponsor the social dinner and accommodation for the speakers. A detailed call for papers is attached. Please circulate it among your colleagues, and do not hesitate to contact us should you require additional information. For updated information visit https://sites.google.com/view/model-evaluation-causal-search/home If you are interested in presenting, please send your paper to workshop.pisa.2022(a)gmail.com *by 30 June 2022.* Best regards, The Organizing Committee

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Corso Natesh PILLAI
by Matteo Ruggiero 26 Apr '22

26 Apr '22

Cari colleghi, nell’ambito del programma di Visiting Professors della Laurea Magistrale in Stochastics and Data Science dell’Università di Torino (programma completo alla pagina https://www.master-sds.unito.it/go/visiting) con piacere annunciamo il seguente corso: -------------------------------------- Natesh PILLAI (Harvard University) FUNDAMENTALS OF MARKOV CHAIN MONTE CARLO Syllabus • Discrete Markov chains: Ergodicity calculations, aperiodicity, irreducibility, recurrence, transience, reversibility, spectral gap. • Review of basic algorithms and concepts: MH, Langevin, HMC, Diffusions, Brownian motion, Gibbs Samplers, Generators of Diffusions • Mixing times: basic coupling arguments, Path coupling and Dirichlet forms/comparison arguments, CFTP, Peskun Ordering • Geometric Ergodicity, Drift minorization argument • Optimal Scaling • Adaptive Markov chains • Data Augmentation Gibbs Sampler -------------------------------------- Il corso si svolgerà online secondo il seguente calendario - mar 3 Maggio, h.14-16 - mer 4 Maggio, h.16-18 - mar 10 Maggio, h.14-16 - mer 11 Maggio, h.16-18 - mar 17 Maggio, h.14-16 - mer 18 Maggio, h.16-18 - mar 24 Maggio, h.14-16 Il corso è rivolto agli studenti della Laurea Magistrale ma la partecipazione è aperta a tutti gli interessati, tramite le seguenti riunioni Webex valide rispettivamente per le lezioni del martedì e del mercoledì: https://unito.webex.com/unito/j.php?MTID=me190fb3e66a07ce53d1ccfd1937badcd Numero riunione: 2731 419 2237 Password: PpQ3inZbq24 https://unito.webex.com/unito/j.php?MTID=m24bd3967fbb95df04993f896a1cb6289 Numero riunione: 2732 576 2484 Password: pCGempDu362 Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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