January 2025 - Random - Mailing list — Dipartimento di Matematica, UniPI

Fwd: Reading Group on Optimal Transport
by Marco Scarsini 24 Jan '25

24 Jan '25

We are pleased to announce the following seminar: ————————————— Speaker Hugo Lavenant (Bocconi University) Title Optimal transport in the 21st century: historical highlights and insights Abstract Optimal transport has grown from a niche mathematical theory into a vibrant field impacting probability theory, analysis, and geometry, with applications in economics, machine learning, biology, and other disciplines. In this presentation, I will highlight key milestones in its development, illustrating how the addressed questions and the explored applications have evolved over the years. Time Monday February 3, 2025, 11:30-13:00 Place Luiss University Viale Romania 32 00197 Roma Aula Toti ————————————— The seminar is intended as an introduction to a new reading group on Optimal Transport, which will be held at Luiss every Wednesday 10:30-12:00 from February 12 onwards. The main reference will be the book “Optimal Transport for Applied Mathematicians” by Filippo Santambrogio. The reading group welcomes researchers and students from game theory, statistics, machine learning, probability, applied mathematics, economics, and related fields. Participation is open to all interested individuals, fostering an interdisciplinary exchange of ideas. You can obviously attend the seminar without any commitment to take part in the reading group. Whoever is interested in the reading group is kindly asked to fill out this form <https://docs.google.com/forms/d/e/1FAIpQLSf22R8P2IKSI8fBF0XZ0bEDkGEboGHESxf…> . Participation is free, but, for logistic reasons, we need a list of participants. Marta Catalano and Marco Scarsini ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY

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Announcement and call for contributed talks: Workshop on Neural Dynamical Systems for Time-Series Data in Vienna
by Paul Hager 24 Jan '25

24 Jan '25

Dear colleagues and readers of the mailing list, We are happy to announce the upcoming Workshop on Neural Dynamical Systems for Time-Series Data, taking place from April 23 to April 25, 2025, at the University of Vienna and the Wolfgang Pauli Institute. This workshop will explore advancements in neural dynamical systems, focusing on topics such as neural and controlled differential equations, signature methods and reservoir computing, with applications across finance, biology, and medicine. The event will feature invited talks, two minicourse sessions, and several contributed talks. Researchers in the field, particularly PhD students and early-career scientists, are encouraged to submit their work for presentation at the workshop. To apply, please email ndstd25.statistik(a)univie.ac.at <mailto:ndstd25.statistik@univie.ac.at> with your name, affiliation, and the title and abstract of your proposed talk by February 28, 2024. Please visit our website, https://ndstd25.univie.ac.at <https://ndstd25.univie.ac.at/>, for further information and a list of confirmed invited speakers. The organizing committee — Linus Bleistein, Christa Cuchiero, Nina Drobac, Adeline Fermanian, Paul Hager, Olivier Wintenberger — is looking forward to your contribution! Best regards, The Organizers

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Statistics Seminar @ MEMOTEF Sapienza - 6 Feb - Stefano Favaro
by Panero,F 23 Jan '25

23 Jan '25

Dear all, On Thursday 6th of February at 12:30pm, the Department of Methods and Models for Economy, Territory and Finance (MEMOTEF) at Sapienza University in Rome will host a seminar by Stefano Favaro, Università degli Studi di Torino e Collegio Carlo Alberto. Title: Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem. Abstract: The Poisson compound decision problem is a classical problem in statistics, for which parametric and nonparametric empirical Bayes methodologies are available to estimate Poisson's means in static or batch domains. We study the Poisson compound decision problem in a streaming or online domain, where a timely analysis can enhance decision-making and responsiveness to new information, especially for data arriving at high-velocity. By relying on a quasi-Bayesian sequential (learning) model for the data, often referred to as Newton's algorithm, we obtain sequential Poisson's mean estimates that are of easy evaluation, computationally efficient and with a constant computational cost as data increase, which is desirable for streaming data. Large sample asymptotic properties of the proposed estimates are investigated, also providing frequentist guarantees in terms of a regret analysis. We validate empirically our methodology, both on synthetic and real data, comparing against the most popular alternatives. Joint work with Sandra Fortini (Bocconi University). When: Thursday 06/02/2025, 12:30pm Where: Via del Castro Laurenziano 9, 00161, Rome Meeting room: Aula Di Fresco, 4th Floor (Ala Ammistrazione) You are welcome to attend! Best wishes, Francesca Panero ------------------------------------------- Dr Francesca Panero (she/her) Assistant Professor in Statistics (RTT), Department of Methods and Models for Economics, Territory and Finance Sapienza University, Rome Visiting Fellow, Department of Statistics London School of Economics and Political Science Website: https://francescapanero.github.io

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call for paper
by Enea Bongiorno 23 Jan '25

23 Jan '25

Carissimi, segnalo la seguente Special Issue di EcoSta (Econometrics and Statistics) con deadline posticipata al 30 Dicembre 2025. Cordiali saluti, Enea ------------------------------------- CALL FOR PAPERS Special Issue on HIGH-DIMENSIONAL AND FUNCTIONAL DATA ANALYSIS Econometrics and Statistics http://www.elsevier.com/locate/ecosta Impact Factor 2 / Quartile 1 of Statistics & Probability We are inviting submissions to the special issue of the journal Econometrics and Statistics dedicated to High-dimensional and Functional Data Analysis. Such data structures have been an important focus of methodological, theoretical and applied statistics research for over two decades, with applications areas including biostatistics, economics, finance, chemometrics, environmetrics, genetics, geophysics, and neuroimaging. The aim of this special issue is to collect research papers concerned with computational and data-analytic aspects of high-dimensional and functional data analysis. Papers in the following areas are particularly welcome, as long as they pertain to the general theme of the special issue: Classification, clustering , discrimination, prediction; Dependent data structures; Hypothesis testing and model selection; Nonparametric modeling; Statistical Learning; high-dimensional econometrics; large panels. In order to be considered for publication, a submission must have a significant novel component in either high-dimensional or functional data analysis with emphasis on methodological, computational or theoretical aspects or novel analysis of important new data sets. Authors who are uncertain about the suitability of their paper should contact the editors. Submissions will be refereed according to standard procedures for Econometrics and Statistics. Information about the journal can be found at http://www.elsevier.com/locate/ecosta. *The deadline for submissions is 30 December 2025*. However, papers can be submitted at any time and once they are received, they will enter the editorial system immediately. Papers for the special issue should be submitted using the Elsevier Electronic Submission tool EM: https://www.editorialmanager.com/ecosta/. In the EM, please choose the special issue on High-dimensional and Functional Data Analysis. The special issue Guest Editors: Frederic Ferraty, Toulouse Jean Jaures University, France Email: ferraty(a)math.univ-toulouse.fr Enea Bongiorno, University of Eastern Piedmont, Italy Email: enea.bongiorno(a)uniupo.it Erricos Kontoghiorghes, Cyprus University of Technology and Birkbeck UNiversity of London, UK Email: erricos(a)cut.ac.cy Jeng-Min Chiou, Academia Sinica, Taiwan Email: jmchiou(a)stat.sinica.edu.tw -- Enea G. Bongiorno, Università degli Studi del Piemonte Orientale - Amedeo Avogadro Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno ------ IWFOS 2025 6th International Workshop on Functional and Operatorial Statistics - iwfos2025.uniupo.it <https://iwfos2025.uniupo.it/home> Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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Conference on Mixing times, May 5-9, Trieste
by SAU FEDERICO 23 Jan '25

23 Jan '25

Dear all, This it the first announcement of the upcoming conference: "Mixing times between Probability, Computer Science and Statistical Physics", to be held in Trieste, ICTP<https://www.ictp.it/>, in the week May 5-9, 2025. Please check the dedicated website<https://indico.ictp.it/event/10831/overview> for further information, and do not hesitate to share this message with anyone who might be interested. Grants & registration. A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee, but registration is required. Best regards, the organizing committee

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Junior Milan Time Series Workshop at University of Milan @31/03/2025
by Luca Rossini 22 Jan '25

22 Jan '25

Dears, The University of Milan is organizing the first Junior Milan Time Series Workshop (Junior MiTSS) on *31 March 2025*. The workshop is aimed at PhD students, postdocs, and junior researchers in all the fields of time series econometrics, including panel data econometrics and macroeconometrics. The keynote speaker will be Roberto Casarin <https://sites.google.com/view/robertocasarin/home?authuser=0> (Ca' Foscari University of Venice). Interested scholars are invited to submit an extended abstract of 1-3 pages to *juniormitss(a)unimi.it <juniormitss(a)unimi.it>* by *7 February 2025*. The notification of acceptance will be on 28 February 2025; unfortunately, no travel funds are available. Best regards Luca

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Seminar Victor M. Panaretos @Luiss
by Alessia Caponera 22 Jan '25

22 Jan '25

Dear all, The Department of Economics and Finance at Luiss University in Rome (*https://economiaefinanza.luiss.it <https://economiaefinanza.luiss.it/>*) is pleased to announce the following seminar: *Speaker*: Victor M. Panaretos, École Polytechnique Fédérale de Lausanne (EPFL) *Title*: *Distributional Regression and Autoregression via Mass Transportation* *When*: February 6th, 14:30 *Where*: Viale Romania, 32 00197 Rome *Meeting room*: 405 *Abstract*: We present a framework for performing regression when both covariate and response are probability distributions. Our framework is based on the theory of mass transportation and links the conditional Fréchet mean of the response to the covariate via an optimal transport map. In the simplest context of distributions on the real line, we show how one can define and compute a Fréchet least squares estimator of the regression map, which attains the minimax convergence rate under minimal assumptions. We also discuss possible extensions to higher dimensional laws and to autoregressive settings, and how these seem to require additional smoothness conditions for consistent estimation. Based on joint work with Laya Ghodrati. *Webpage*: https://economiaefinanza.luiss.it/research-seminar/distributional-regressio… *Should you be interested, please kindly send me an e-mail.* Best wishes, Alessia Caponera

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Seminario a Roma il 05/02/2025
by Pietro Caputo 21 Jan '25

21 Jan '25

Mercoledì *5 febbraio *alle ore *14.30, *Simone Baldassarri (Mathematical Institute Leiden University) terrà il seminario dal titolo “*Opinion dynamics on dense dynamic random graphs*”. Abstract: Describing the evolution of dynamic networks together with dynamic processes running on them constitutes a major challenge in network science. Despite considerable efforts in past years, and notable progress on an intuitive and approximative level, our mathematical understanding of such systems is still in its infancy. The focus of this talk will be two-opinion voter models on dense dynamic random graphs. The goal is to understand and describe the occurrence of consensus versus polarisation over long periods of time. The former means that all vertices have the same opinion, the latter means that the vertices split into two communities with different opinions and few disagreeing edges. We consider three models for the joint dynamics of opinions and graphs: one with one-way feedback and two with two-way feedback. In the first model only coexistence is attainable, meaning that both opinions survive, but with the presence of many disagreeing edges. In the second model only consensus prevails, while in the third model polarisation is possible. Key results cover functional laws of large numbers for the densities of the two opinions, functional laws of large numbers for the dynamic random graphs in the space of graphons, and a characterisation of the limiting densities in terms of Beta-distributions. Il seminario avrà luogo in presenza presso il Dipartimento di Matematica e Fisica di Roma Tre Aula B in Via della Vasca Navale 84, 00146 Roma -- Pietro Caputo Dipartimento di Matematica e Fisica via della vasca navale 84, 00146 Roma, Italy. www.mat.uniroma3.it/users/caputo Tel +39 3460830076

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WiM 2025
by giuseppe.sanfilippo＠unipa.it 21 Jan '25

21 Jan '25

Carissimə, siamo lietə di annunciarvi che il 6 e 7 febbraio 2025 si terrà a Palermo, presso il Dipartimento di Matematica e Informatica, Via Archirafi 34, la seconda edizione del Workshop “Women in Mathematics” organizzato con il patrocinio dell’Unione Matematica Italiana (UMI), dell’Istituto Nazionale di Alta Matematica (INdAM), del Dipartimento di Matematica e Informatica e dell’Università degli Studi di Palermo. L’obiettivo del workshop è di pubblicizzare l'ottimo lavoro di ricerca svolto dalle ricercatrici in matematica nel mondo, accrescere la loro visibilità e incrementare la rete di contatti, promuovendo l’interazione tra discipline diverse. L’iniziativa si svolge anche in concomitanza con la Giornata Internazionale delle Donne e Ragazze nella Scienza prevista l'11 febbraio 2025. Il workshop prevedrà l’intervento delle seguenti invited speakers: Eleonora Amoroso, Università degli Studi di Messina Alessandra Bernardi, Università di Trento Lydia Castronovo, Università degli Studi di Messina Alessandra Celletti, Università di Roma, Tor Vergata Gisella Croce, Université Paris 1, Panthéon-Sorbonne Chiara Giverso, Politecnico di Torino Anna Mercaldo, Università degli Studi di Napoli Federico II Sihem Mesneger, Université Paris VIII Anamari Nakić, University of Zagreb Helena J. Nussenzveig Lopes, Universidade Federal do Rio de Janeiro, Brasile Maria Rosaria Posteraro, Università degli Studi di Napoli Federico II Laura Lea Sacerdote, Università degli Studi di Torino Mariangela Sciandra, Università degli Studi di Palermo Barbara Vantaggi, Università la Sapienza Roma La partecipazione è aperta a tutti i ricercatori interessati. Durante i lavori del workshop sarà organizzata una tavola rotonda sul tema “Women in Mathematics”. Per partecipare non è richiesta alcuna tassa di iscrizione, ma è gradita la registrazione. I dettagli logistici e le ulteriori informazioni sono disponibili al seguente link: https://wim.unipa.it/ Vi aspettiamo, Gilberto Bini, Barbara Brandolini, Giovanni Falcone, Gaetana Gambino, Maria Carmela Lombardo, Marco Sammartino, Giuseppe Sanfilippo, Elisabetta Tornitore

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The ABS school SPATIO-TEMPORAL METHODS IN ENVIRONMENTAL EPIDEMIOLOGY, June 3-6, 2025, Genova, Italy
by Elisa Varini 20 Jan '25

20 Jan '25

We are pleased to inform you that the next Applied Bayesian Statistics summer school - ABS25 will be held from 3 to 6 June 2025 in the beautiful historic city of Genova, overlooking the Ligurian Sea in Italy. The school is organized by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the Italian National Research Council in Milano), in cooperation with the Department of Mathematics of the University of Genova. The topic will be SPATIO-TEMPORAL METHODS IN ENVIRONMENTAL EPIDEMIOLOGY The lecturer will be Prof. ALEXANDRA SCHMIDT (McGill University, Department of Epidemiology, Biostatistics and Occupational Health, Canada), with the support of Dr. CARLO ZACCARDI (University G. d'Annunzio Chieti-Pescara, Department of Economics, Italy). If interested, you can register on the school website: https://abs25.imati.cnr.it/ REGISTRATION is now open, but payments will be possible (by credit card and, possibly, by bank transfer) starting from about mid-February 2025. If you are interested in the school but unwilling to register for the moment, please send an email to abs25(a)mi.imati.cnr.it and we will send you updates and reminders. As in the past (since 2004), there will be a combination of theoretical and practical sessions, along with presentations by participants about their work (past, current and future) related to the topic of the school. OUTLINE: This course aims to explore the interface between environmental epidemiology (EE) and spatio-temporal modelling (ST). The aim of EE is to understand the adverse health effects of environmental hazards and to estimate the risks associated with those hazards. Such risks have traditionally been assessed either over time at a fixed point in space or over space at a fixed point in time. ST modelling characterizes the distribution of those hazards and associated risks over both geographical locations and time. Understanding variation and exploiting dependencies over both space and time greatly increases the power to assess those relationships. The course will cover a wide range of topics from an introduction to spatio-temporal and epidemiological principles along with the foundations of ST modeling, with specific focus on their application, to new directions for research. Topics to be covered: - Types of epidemiological studies: cohort, case–control, ecological. - Measures of risk: relative risks, odds ratios, absolute risk, sources of bias, assessing uncertainty. - Bayesian statistics and computational techniques: Markov Chain Monte Carlo (MCMC). - Regression models in epidemiology: Logistic and Poisson generalized linear models, hierarchical models. - Dynamic linear models, temporal autocorrelation. - Spatial models: area and point referenced methods, mapping, geostatistical methods, spatial regression. - Spatial-temporal models: separable models, non-separable models, modelling exposures in space and time. Reference: Shaddick, G., Zidek, J.V., & Schmidt, A.M. (2023). Spatio–Temporal Methods in Environmental Epidemiology with R (2nd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003352655 We hope you will be interested in the school, and we would like to meet you in Genova. We invite you also to share the information with people potentially interested. Best regards Elisa Varini and Fabrizio Ruggeri Executive Director and Director of ABS25

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