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Seminars in Statistics at Collegio Carlo Alberto - Pierre LATOUCHE (Université Clermont Auvergne)
by Matteo Giordano 04 Apr '26

04 Apr '26

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 10/04/2026, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Pierre LATOUCHE (Université Clermont Auvergne) Title: Importance weighted variational graph autoencoders for inference in deep latent position block models Abstract: In this presentation, I will first show how latent position models can be made compatible with block models for network analysis through the use of deep generative models. I will focus on the binary edge case and introduce a new random graph model along with a variational graph auto encoding strategy for inference. I will discuss the identifiability of the model and explain how model selection can be performed. I will then move to the sparse discrete edge case in the same deep, block compatible, modelling framework. I will show how importance weighted variational inference can strongly improve the inference procedure over the classical variational auto encoding strategy. I will give the importance weights used for sampling and show that, in the limit, the lower bound obtained converges to the integrated log likelihood of the data. Through this presentation, I will emphasise the need to rely on flexible random graph models to obtain relevant loss functions. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare un’email a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it> Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Giordano Assistant Professor (RTDA) Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>

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Berlin Summer School in Applied Stochastic Analysis (28 - 31 July 2026)
by Fabio Bugini 03 Apr '26

03 Apr '26

Care colleghe e cari colleghi, We are pleased to announce the upcoming Berlin Summer School in Applied Stochastic Analysis, which will take place from 28 to 31 July 2026 at the TU Berlin campus. The summer school is aimed at PhD students and early-career researchers working in probability theory. The programme features two mini-courses: “Neural Jump ODEs and Generative Modelling” by Josef Teichmann (ETH Zürich), and “An Introduction to Schrödinger Bridges and Sinkhorn Semigroups” by Pierre Del Moral (INRIA Bordeaux). Participation is free of charge, but registration is mandatory via the form https://www.wias-berlin.de/WCMS/registration.jsp?IRTG2026 by 19 April 2026. Participants who would like to give a talk are also encouraged to submit a title and an abstract. Limited financial support is available. To apply, please indicate this in the registration form and send a short CV to IRTG2026(a)wias-berlin.de by 19 April 2026. Further information is available at: https://www.wias-berlin.de/workshops/IRTG2026/ The summer school is jointly organised by the Berlin-Oxford International Research Training Group (IRTG) 2544 "Stochastic Analysis in Interaction", the Collaborative Research Center TRR 388 "Rough Analysis, Stochastic Dynamics & Related Fields", and the Collaborative Research Centre SFB 1294 "Data Assimilation". We would be delighted to welcome you to Berlin this summer! If you have any questions, please contact us at IRTG2026(a)wias-berlin.de. Kind regards, Peter Bank, Jannis Dause, Jakob Kellermann, Martin Nicolaus, Gemma Sedrakjan, Wilhelm Stannat, Roman Wüthrich

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scholarships for master programs in mathematics - Paris
by CRISTINA TONINELLI 03 Apr '26

03 Apr '26

Cari tutti, potreste diffondere il seguente messaggio agli studenti interessati? Grazie e buona Pasqua, Cristina ---------------- The Graduate Program in Mathematics and Applications at PSL University offers scholarships for students wishing to enroll in the PSL Master’s in Mathematics for the academic year 2026–2027. The call is open to students: * either currently in their 4th year of university (in the Italian system, this means they have completed their laurea triennale and are currently in the first year of their laurea magistrale). In this case, they will be enrolled directly in one of our three one-year master 2 programs. Master 2 MATH https://www.ceremade.dauphine.fr/~M2MATH/, which is typically followed by either a PhD or a position the research and development sector of private companies, or Master 2 MASEF https://dauphine.psl.eu/en/training/masters-degrees/mathematics-and-applied… oriented towards economics and finance, or in Master 2 IASD https://dauphine.psl.eu/en/training/masters-degrees/mathematics-and-applied… oriented towards data and artificial intelligence * or currently in their 3rd year of university (in the Italian system, this corresponds to the final year of the laurea triennale). In this case, they will be enrolled in our Master 1 https://dauphine.psl.eu/en/training/masters-degrees/mathematics-and-applied…, and may then proceed to one of our three Master 2 the following year (with the possibility of applying for a second year of funding). The teaching language of all tracks is English. The program is supported by leading mathematics research teams at CEREMADE (Paris Dauphine–PSL), DMA (École Normale Supérieure – PSL), École des Mines Paris–PSL, Paris Observatory–PSL, EHESS, and Collège de France. The scholarships are open to both national and international students. Selection is based on academic excellence. Application timeline: Opening date: February 27, 2026 Closing date: May 25, 2026 More details on financial support and the application process can be found here: https://psl.eu/en/graduate-programs/mathematics-and-applications Please follow the link “Excellence grants for master students 2026–27. --------------------------------------------------------------------------------------------- Cristina Toninelli Postal Address: Ceremade Univ.Paris Dauphine Place du Marechal de Lattre de Tassigny 75775 Paris Cedex 16 - France Office: P207bis --------------------------------------------------------------------------------------------

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Prof. Fabrizio Lillo's seminar at University of Milano-Bicocca.
by Giorgio Rizzini 03 Apr '26

03 Apr '26

Dear all, we are pleased to announce the following seminar by Prof. Fabrizio Lillo (Scuola Normale Superiore) on *Tuesday, April 14th, 2026,* starting at 11:00 at the U7 building, room 4057, Department of Statistics and Quantitative Methods, University of Milano-Bicocca (Milan): *Why is the estimation of market impact of large trades with public market data so challenging?* *Abstract:* Estimating market impact and transaction costs of large trades (metaorders) is a very important topic in finance. However, using models of price and trade based on public market data provides average price trajectories which are qualitatively different from what is observed during real metaorder executions. We claim that this is a generic phenomenon due to the fact that even sophisticated statistical models are unable to correctly describe the origin of the autocorrelation of the order flow. In the talk (i) we propose a modified Transient Impact Model which provides more realistic trajectories by assuming that only a fraction of the metaorder trading triggers market order flow and (ii) we propose to use Bayesian online change-point detection methods to identify order flow regime shifts in real-time and enable online predictions of order flow and market impact. The seminar will be held in a hybrid format (in-person and online). If you would like to attend remotely or require any further information, please write to *giorgio.rizzini(a)unimib.it <giorgio.rizzini(a)unimib.it>* Best regards and happy Easter!

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Bernoulli Society New Researcher Award
by Antonio Lijoi 01 Apr '26

01 Apr '26

The Bernoulli Society New Researcher Award recognizes the work of outstanding young researchers in the fields of Mathematical Statistics and Probability. The awardees of this annual prize shall give a presentation in a special session at one of our major conferences, and will receive a funding towards travel and other expenses. Bernoulli News publishes their pictures and a paragraph about their work. Eligible candidates must be within 5 years from getting the Ph.D. to the year when the assessment occurs. An extension may be given to those having had disruptions after receiving the Ph.D., such as parenthood. This prize is awarded to Bernoulli Society members only. The call for the Bernoulli Society New Researcher Award 2027 in Mathematical Statistics is now open. The Bernoulli Society welcomes applications to the New Researcher Award 2027. Each awardee shall deliver a talk at a special invited session during the Conference on 66th ISI World Statistics Congress to be held in Lusaka, Zambia, July 11-15, 2027, and will receive funding up to 1000 EUR to offset travel and other expenses. Bernoulli News will publish their pictures and a paragraph about their work. Eligible candidates are active researchers in Mathematical Statistics who obtained the PhD degree on or after June 30th, 2021, and who are regular members of the Bernoulli Society. An extension may be given to those having had disruptions after receiving the PhD, such as parenthood. Diversity among the awardees is one of the Society’s goals, and therefore women and members of under-represented groups are particularly encouraged to apply. For instructions on how to apply, please see https://www.bernoullisociety.org/prizes/267-bernoulli-society-new-researche… Application Deadline: June 30th, 2026

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9 apr 2026 - seminario Prof. D. La Vecchia
by Enea Bongiorno 01 Apr '26

01 Apr '26

Carissimi colleghi, scusandomi per eventuali invii multipli, vi inoltro il seguente annuncio di seminario. Tutti gli interessati sono invitati a partecipare. Cordialmente, Enea Bongiorno -------------------------------- - data e orario: 9 Aprile 2024 ore 14.30 - sala riunioni primo piano, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale. - on-line: meet.google.com/isi-ipsn-tpa *Title:* From Monge to Huber through a Schrödinger Bridge: Robust Optimal Transport in Large Dimensions *Prof. Davide La Vecchia*, University of Geneva *Abstract*: Optimal Transport (OT) plays an increasingly important role in modern statistics and machine learning. I will begin the talk with a gentle introduction to the OT problem, first in its classical Monge formulation andthen in the relaxed Kantorovich framework, highlighting their statistical relevance and limitations. I will then present two recent advances that address the sensitivity of classical OT to outliers and heavy-tailed distributions. The first is the Robust Optimal Transport (ROBOT) framework, which leads to the robust Wasserstein Distance , a Huberised version of . I discuss its main properties,concentration inequalities, and consequences for minimum-distance estimation,together with applications in statistics (e.g., location estimation under heavy tails) and in machine learning (e.g., Generative Adversarial Networks). I will illustrate that ROBOT is effective in handling outlying values but is still sensitive to the dimensionality of the data. Thus, in the second part of the talk I introduce E-ROBOT, which integrates ROBOT with entropic regularization through connections to the Schrödinger bridge problem. This yields the robust Sinkhorn divergence , which enjoys dimension-free sample complexity of order, where n denotes the sample size. I briefly illustrate its use in large dimensional tasks in statistics, image analysis, and machine learning (e.g., goodness-of-fit testing, barycenter computation for corrupted shapes, gradient flows, and image colour transfer). Overall, the talk provides a unified perspective on robustness and regularization in OT, together with theoretical guarantees and practical computational tools. The talk is based on: Inference via robust optimal transportation: theory and methods, Y. Ma, H. Liu, D. La Vecchia & M. Lerasle, International Statistical Review, Available online from 26 June 2025, https://doi.org/10.1111/insr.70000 E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge, D. La Vecchia & H.Liu, 2025, https://arxiv.org/pdf/2509.11532 ----------------------------------- Locandina dell'evento <https://drive.google.com/file/d/1LKDh1zL716hVIJckknL0gxf-N8rYtz6u/view?usp=…> Seminari Matematici Statistici <https://sites.google.com/uniupo.it/seminari-ms/home-page> ----------------------------------- -- 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 ------ Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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4th Finnish Summer School on Probability and Statistics, 50 years jubilee edition, Lammi, Finland 25-29.5.2026
by Gasbarra, Dario 01 Apr '26

01 Apr '26

Dear friends of Stochastics and Statistics, the 44th Finnish Summer School on Probability and Statistics, 50 years jubilee edition, will take place in Lammi, Finland 25-29.5.2026 ! Please check the website 44th Finnish Summer School on Probability and Statistics, 50 years jubilee | FDNSS<https://fdnss.fi/44th-finnish-summer-school-on-probability-and-statistics-5…> https://fdnss.fi/wp-content/uploads/2026/03/fdnss-school_poster-2026.pdf Minicourses: * Nils Berglund<https://www.idpoisson.fr/berglund/> (Université d’Orléans) Topics in Gaussian Wiener chaos expansion (abstract)<https://fdnss.fi/topics-in-gaussian-wiener-chaos-expansion/> * Giulia di Nunno<https://www.mn.uio.no/math/personer/vit/giulian/> (University of Oslo) BSDEs and fully-dynamic risk measures * Frank Röttger<https://sites.google.com/view/roettger/startseite> (University of Twente) Probabilistic graphical models and their application to extreme value statistics * SJS Lectures: Subhabrata Sen<https://sites.harvard.edu/sus977/> (Harvard University) Recent progress in multi-modal data analysis (abstract)<https://fdnss.fi/recent-progress-in-multi-modal-data-analysis/> See you in Lammi ! Yours Dario Gasbarra, Department of Mathematics and Statistics University of Vaasa, P.O.Box 700 65101 Vaasa Finland dario.gasbarra(a)uwasa.fi

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Conference in honour of Freddy Delbaen
by Sara 31 Mar '26

31 Mar '26

Dear all, Below you will find the details of the conference in honor of Professor Freddy Delbaen, on the occasion of his 80th birthday. Warm regards, ---------------------------------------------------------------------------------------------- *Sara Biagini* Department of AI, Data and Decision Sciences *LUISS University* Address: Viale Romania, 32 00197 Roma *Web*: https://www.luiss.it/faculty/352478 *Web* (personal): https://sites.google.com/site/sarabiagini/ ---------- Forwarded message --------- Da: Delia Coculescu <delia.coculescu(a)df.uzh.ch> Date: Mar 31 Mar 2026, 21:22 Subject: Conference in honour of Freddy Delbaen To: Sara <sara.biagini(a)gmail.com> Cc: Cheridito Patrick <patrickc(a)ethz.ch>, Damir Filipovic < damir.filipovic(a)epfl.ch> Dear Sara, We organise a conference for Freddy’s 80 birthday, 7-9 September 2026. Information is under [image: imageCarousel.imageformat.lightbox.644279698.jpg] Freddy Delbaen Conference <https://risklab.ethz.ch/news-and-events/conference-delbaen.html> risklab.ethz.ch <https://risklab.ethz.ch/news-and-events/conference-delbaen.html> <https://risklab.ethz.ch/news-and-events/conference-delbaen.html> Feel free to sent the information to people that may be interested to attend. Also, note that we have an open call for contributed talks, with deadline April 23. Best wishes, Delia

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STATISTICAL REFLECTIONS: Half-day Workshop on Statistical Methods - Ca’ Foscari University (Scientific Campus Venezia Mestre)
by Carlo Gaetan 30 Mar '26

30 Mar '26

The STREAM group (https://www.unive.it/pag/16818/) of the Ca’ Foscari University, in collaboration with the Data-Centric Environmental Studies Centre (DESC <https://www.unive.it/web/it/15083/home>), invites you all to STATISTICAL REFLECTIONS Half-day Workshop on Statistical Methods <https://drive.google.com/file/d/1GaAmvj5l4a9qmESfDGz9Q3wuQqgD6_ym/view?usp=…> Venice April 8, 2026 Ca’ Foscari University Scientific Campus Aula Epsilon 2 Via Torino 155 Venezia Mestre Program: -14:00 Miguel de Carvalho (University of Edinburgh): On Extremal Vulnerability in Multivariate Extremes -14:45 Philippe Naveau (Laboratoire des Sciences du Climat et de l’Environnement): A Kullback--Leibler divergence test for multivariate extremes with applications to environmental data -15:45 Simone Padoan (Bocconi University): Optimal weighted pooling for inference about the tail index and extreme quantiles Speaker: Miguel de Carvalho University of Edinburgh), UK https://webhomes.maths.ed.ac.uk/~mdecarv/ <https://warwick.ac.uk/dfirth> On Extremal Vulnerability in Multivariate Extremes In many complex systems, identifying the most vulnerable component is essential for effective prevention, intervention, and risk management. In this talk, I will introduce the notion of extremal vulnerability, defined as the long run tendency of a component to be affected by extreme events occurring in other components. The proposed framework builds on the tail dependence matrix and introduces the Extremal Vulnerability Rank (XVRank) method—a PageRank-inspired algorithm designed to quantify extremal vulnerability. We establish the theoretical properties of the proposed inferences, including consistency and asymptotic normality, and validate their performance through Monte Carlo simulations. The proposed methods are illustrated using financial data to determine assets most exposed to severe market downturns. Speaker: Philippe Naveau Laboratoire des Sciences du Climat et de l’Environnement, France https://www.lsce.ipsl.fr/en/pisp/philippe-naveau/ <https://www.ikosmidis.com/> A Kullback--Leibler divergence test for multivariate extremes with applications to environmental data Testing whether two multivariate samples exhibit the same extremal behavior is an important problem in various fields including environmental and climate sciences. While several ad-hoc approaches exist in the literature, they often lack theoretical justification and statistical guarantees. On the other hand, extreme value theory provides the theoretical foundation for constructing asymptotically justified tests. We combine this theory with Kullback--Leibler divergence, a fundamental concept in information theory and statistics, to propose a test for equality of extremal dependence structures in practically relevant directions. Under suitable assumptions, we derive the limiting distributions of the proposed statistic under null and alternative hypotheses. Importantly, our test is fast to compute and easy to interpret by practitioners, making it attractive in applications. Simulations and various environmental applications will be covered. Speaker: Simone Padoan Bocconi University, Italy https://www.unibocconi.it/en/faculty/simone-padoan <https://www.unibocconi.it/en/faculty/simone-padoan> Optimal weighted pooling for inference about the tail index and extreme quantiles We investigate pooling strategies for tail index and extreme quantile estimation from heavy-tailed data. To fully exploit the information contained in several samples, we present general weighted pooled Hill estimators of the tail index and weighted pooled Weissman estimators of extreme quantiles calculated through a nonstandard geometric averaging scheme. Our results include optimal choices of pooling weights based on asymptotic variance and MSE minimization. In the important application of distributed inference, we show that the variance-optimal distributed estimators are asymptotically equivalent to the benchmark Hill and Weissman estimators based on the unfeasible combination of subsamples, while the AMSE-optimal distributed estimators enjoy a smaller AMSE than the benchmarks in the case of large bias. Simulations confirm the statistical inferential theory of our pooled estimators. An application to real weather data is showcased. Participation is free and open to anybody interested. Best regards Caelo Gaetan -- Carlo Gaetan Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS Università Ca' Foscari - Venezia Z.A12 - Edificio Zeta Via Torino, 155 I-30172 Mestre (VE) ITALY phone: ++39 041 234 8404 e-mail:[gaetan"at"unive"dot"it] web:[https://www.unive.it/data/people/5591383] ID orcid:[https://orcid.org/0000-0002-1361-9959] Please don't print this e-mail unless you really need to. Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html. Per favore non stampate questo messaggio se non è proprio necessario. Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html

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Next Webinar PRISMA - April 13, 2026 - Speakers: Jodi Dianetti & Giorgio Ferrari
by Luciano Campi 30 Mar '26

30 Mar '26

Webinar of the team UMI - PRISMA (http://www.umi-prisma.polito.it/) PRISMA webinars follow a colloquium-style format designed to foster exchange and discussion within the Italian probability and statistics community. Each session features two speakers, who give two closely connected 30-minute talks providing the community with a perspective on their research area. Over the past few years, recordings of the seminars have been made available on the UMI YouTube channel: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb The next event is scheduled for Monday, April 13, 2026. The speakers will be Jodi Dianetti (Università di Roma Tor Vergata) and Giorgio Ferrari (University of Bielefeld), who will speak on: Singular Stochastic Controls in Reinforcement Learning and Mean-field Problems According to the following schedule 16:00 1st seminar 16:30 Break and discussions 16:45 2nd seminar 17:15 Conclusions and discussions The abstract can be found below. The seminars will be streamed on Teams at the following link: <https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> teams.microsoft.com<https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> [X]<https://teams.microsoft.com/meet/336647845045160?p=BZrq2TCGqLcOqxzVsv> We look forward to seeing many of you there! Luciano Campi, Maurizia Rossi %%%%%%%%%%%%%%%%%%%%%%%%%%%% SPEAKERS: Jodi Dianetti (Università di Roma Tor Vergata) and Giorgio Ferrari (Bielefeld University) TITLE: Singular Stochastic Controls in Reinforcement Learning and Mean-field Problems ABSTRACT: This talk is divided into two parts, both devoted to stochastic control problems with singular controls. In both cases, a connection with optimal stopping plays a key role, although it arises in different ways and from different perspectives. In the first part, we consider optimal stopping problems from a reinforcement learning perspective. We formulate the stopping decision through randomized stopping times, modeled by bounded, nondecreasing, càdlàg control processes, and introduce an entropy regularization that promotes exploration. The resulting problem can be rewritten as a degenerate, finite-fuel singular stochastic control problem. Using dynamic programming, we characterize the optimal exploratory policy, obtain semi-explicit solutions in a real-option setting, analyze the vanishing-entropy limit, and propose a policy-iteration reinforcement learning algorithm with convergence guarantees. In the second part, we turn to mean-field control problems with singular controls over a finite horizon, allowing for general dependence on the distribution of the state. We show that these problems can be linked to a mean-field game with singular controls, and that equilibria of this game yield optimal controls for the original problem. For a mean-field version of the classical monotone follower problem, the associated equilibrium is characterized by exploiting its connection with optimal stopping together with a Kakutani-Fan-Glicksberg fixed-point argument, leading to a complete characterization of the optimal control in terms of a moving free boundary that uniquely solves a nonlinear integral equation. The talk is based on (ongoing) joint works with Andrea Amato, Federico Cannerozzi, and Renyuan Xu. --------------------------------------------------------

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