April 2026 - Random - Mailing list — Dipartimento di Matematica, UniPI

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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