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Seminar Chiarini at Tor Vergata, February 2
by Michele Salvi 29 Jan '26

29 Jan '26

Dear all, On Monday, February 2nd, at 14h00 in Aula Dal Passo in the Math Department of the University of Rome Tor Vergata, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Alberto Chiarini (Università di Padova) with the seminar "Fluctuations of the Simple Exclusion Process on Point Processes” Abstract: The simple exclusion process is one of the most prominent models of interacting particle systems. In this seminar, we consider a resistor network whose nodes are sampled according to a simple point process on R^d and are connected by certain conductances. On top of this resistor network, particles move according to random walks with the rule that there is at most one particle per site. Under soft assumptions on the point process measure and conductances, which include ergodicity, stationarity and certain moment conditions, it is known that the empirical density of particles converges for almost all realisation of the environment to the solution of an heat equation with a certain homogenised diffusivity. In this talk, we examine its equilibrium fluctuations. For d≥3, under the same assumptions that ensure the hydrodynamical limit, we show that the empirical density fluctuation field converges for almost all realisation of the environment, in the sense of finite-dimensional distributions, to a generalised Ornstein-Uhlenbeck process. For d=2, if we require some additional regularity on the environment to have Hölder regularity estimates for solutions to parabolic problems, we can show that the same conclusion holds. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: Seminar Chiarini | Meeting-Join | Microsoft Teams <https://teams.microsoft.com/meet/35312566481713?p=TZW9dap5ukSeKLodvC> The seminar is part of the Excellence Project MatMod@TOV.

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ESOBE 2026 conference
by Matteo Iacopini 29 Jan '26

29 Jan '26

Dear all, I’m pleased to announce the 16th ESOBE conference, which will take place on 27-28 August 2026 at LUISS University in Rome. The oﬃcial website is https://esobe2026.github.io/ Keynote speakers ConcepHon Ausin (Universidad Carlos III de Madrid), Radu Craiu (University of Toronto), and Petros Dellaportas (University College London) Submission of Papers and Deadline You are invited to submit a paper for the contributed oral or poster sessions, with a deadline on 27 April 2026. Submissions from all fields of Bayesian econometrics (macro, micro, and financial) are welcome, as well as papers on Bayesian theory, computing, and machine learning. The call for papers is available on the website. Opportunities for PhDs and young researchers * Travel support grant —> PhD students who are members of the EFaB secHon within ISBA may apply for a travel support grant * Young Researchers Session —> PhD students and researchers who received their PhD after August 2021 may apply to present their work in the dedicated oral “Young Researchers Session” Please see the website for further details. For any clarificaHon or specific questions, write an email to esobe2026(a)gmail.com<mailto:esobe2026@gmail.com> Best wishes, Matteo Iacopini La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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summer School on PDEs and Randomness in Leipzig, July 2026
by b4buu7＠gmail.com 29 Jan '26

29 Jan '26

Dear all, this is to announce that at MPI in Leipzig the second edition of the summer school on ''PDE and Randomness'' will take place from the 13th to the 17th of July this year (2026), more information at the following link: https://www.mis.mpg.de/events/series/2nd-summer-school-on-pdes-and-randomne… In this second edition of the summer school on PDEs and Randomness, three speakers will present introductions to their areas of research at the interface of PDEs and probability: Yu Gu (University of Maryland) Lisa Hartung (Universität Mainz) Hendrik Weber (Universität Münster) Additionally, there will be tutorial sessions organized by the junior participants with support from the organizers. Funding towards travel and accommodation is available for early-career participants such as postdoctoral researchers, PhD and master students. Deadline for funding applications is February 28, 2026. Please note that the funding deadline is approaching and there are still some free slots for getting financial support. Kind regards, Francesco.

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Short course at IMT Lucca
by Irene Crimaldi 29 Jan '26

29 Jan '26

Dear all, I would like to bring to your attention the short course "Advanced Topics in Stochastic Modeling and Statistics" (12 hours). I will teach this course in person at IMT Lucca https://www.imtlucca.it/homepage, but it is also possible to attend it online. The course is divided into six lessons in the period April 16-27 2026. The course deals with the following topics: - Conditional expectation (definition, properties); - Martingales and co. (definitions and basic properties, Burkholder transform, stopping theorem and some applications, predictable compensator and Doob decomposition, some convergence results, game theory interpretation, variants); - Introduction to stochastic processes with reinforcement (definition, applications, classical models, recent models, including models with interaction, related statistical tools, ongoing research). Participation in the course is free. Registration as a visiting student is required, following the instructions at https://www.imtlucca.it/corsi-visiting-students Once registered, the class schedule will be provided. Interested students can contact me for further details Best, Irene Crimaldi

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Open Ph.D. position at the University of Luxembourg
by Giovanni Peccati 27 Jan '26

27 Jan '26

Dear Colleagues, The *Department of Mathematics* of the *University of Luxembourg* (*DMATH*) is seeking an excellent candidate for a *PhD position* in the area of *Mathematical Statistics*, with an expected starting date in *2026*. *-----------------------* *Supervisor:* Prof. *Yannick Baraud* (https://math.uni.lu/baraud/Home.html) *PhD topic:* *Classical Bayesian methods can be used to construct estimators with good statistical properties. For example, when the data are i.i.d. and come from a distribution belonging to a parameterised model with a suitable prior distribution, numerous studies show that the posterior distribution is concentrated around the parameter associated with the distribution of the data.* *Despite their popularity, these methods nevertheless have certain limitations. In particular, when the data-generating distribution does not belong to the family of distributions chosen as the model, the estimators obtained may be of poor quality, even when the model provides a good approximation of the truth. This situation can arise, for example, when the sample contains a few outliers due to measurement or transcription errors. More generally, it occurs when the statistical model is only a simplification of reality, which is often the case in practice. The statistical method is then said to suffer from a lack of robustness as it produces unstable estimators that are sensitive to small deviations from the assumed model.* *In this PhD proposal, we offer the opportunity to study a robust alternative to classical Bayesian methods. This is a recent approach, the main properties of which were established in [1] in the context of density estimation. The aim of this PhD proposal is to understand the mathematics behind these new techniques and to extend it beyond density estimation. * *A candidate for this position must have a strong background in analysis, probability and mathematical statistics as well as a taste for theory. * [1] Y. Baraud. From robust tests to Bayes-like posterior distributions. Probab. Theory Related Fields, 188(1-2):159–234, 2024. --------------------------- The successful candidate will join a dynamic research environment with strong international collaborations and access to high-level scientific infrastructure. For further details concerning the position, application procedure, and eligibility requirements, please contact directly Prof. Baraud at the address yannick.baraud(a)uni.lu Please feel free to circulate this announcement within your networks. Best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ Head of the Department of Mathematics Faculty of Science, Technology and Medicine ------------------------------------------ University of Luxembourg ------------------------------------------ President of the Luxembourg Mathematical Society https://math.uni.lu/sml/ ------------------------------------------ homepage: http://sites.google.com/site/giovannipeccati/home E-mail: giovanni.peccati(a)gmail.com

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[STAR Seminars] Wed Feb 25 - Yi Feng
by Leonardo Tarquini 27 Jan '26

27 Jan '26

Dear all, Join us for our upcoming talk in the STAR seminar<https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…> series on Wednesday, February 25th, from 11:00 to 12:00 (Oslo time). As always, the talk will take place in a hybrid format: participants in Oslo can attend the talk in Room 723 in Niels Henrik Abels hus, whereas the international audience will be able to follow the talk via Zoom<https://uio.zoom.us/j/61698784374>. The speaker is Yi Feng (Aarhus University) with the talk: Title: Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Abstract: Since Polyak's pioneering work, heavy ball momentum has been widely studied in minimization problems. However, its role in min-max games remains largely unexplored. As a key component of practical min-max algorithms like Adam, this gap limits their eﬀectiveness. In this talk, I will present a continuous-time analysis for heavy ball momentum in min-max games. I will focus on two aspects: convergence to equilibrium and implicit gradient regularization, which describe how momentum shapes the interaction between algorithmic trajectories and the geometry of the min-max loss landscape. We will see that the behavior of heavy ball momentum in min-max games is significantly diﬀerent from that in minimization. Bio: Yi Feng is a Postdoctoral researcher at Aarhus University. His research focuses on understanding the learning dynamics in games and their applications in machine learning. His research is supported by a Danish Data Science Academy Postdoctoral Fellowship. This seminar is jointly organised in collaboration with Trung Tuyen Truong<https://www.mn.uio.no/math/english/people/aca/tuyentt/> from the Several Complex Variables, Logic and Operator algebras group<https://www.mn.uio.no/math/english/?vrtx=unit-view&areacode=151365> at UiO. We are looking forward to seeing you! Best regards, Giulia, Leonardo, Pere, and David

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Seminar Mark Veraar 02/02/26 - Rome
by Antonio Agresti 26 Jan '26

26 Jan '26

Dear Colleagues, With this, I would like to inform you about the talk by *Mark Veraar* (TU Delft) at Sapienza University of Rome on 02/02/2026. Further details can be found below. Best regards, Antonio Agresti *Place and time: *Sala di Consiglio (Dipartimento di Matematica, Sapienza), on *02/02/26* at *16:00*. *Title:* Pathwise Uniform Convergence of Time Discretisation Schemes for SPDEs *Abstract:* In this talk, I will present some recent results on convergence rates for time discretisation schemes for semi-linear stochastic evolution equations with additive or multiplicative Gaussian noise, where the leading operator A is the generator of a strongly continuous semigroup S on a Hilbert space X, and the focus is on non-parabolic problems. The talk is based on joint work with Katharina Klioba, published in 2025.

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seminar Claudio Macci 30/01/26 - Pavia
by Enrico Priola 26 Jan '26

26 Jan '26

Dear Colleagues, We would like to invite you to the following seminar, by Claudio Macci on Friday 30 january 2026, starting at 11 am. Titles and abstract are below. With best regards, Enrico Priola ---- Friday 30 january 2026 at 11 am - Aula Beltrami, via Ferrata 5, Università di Pavia Link Zoom https://unipv-it.zoom.us/j/95012043373?pwd=VaSaGaIDZQnbVWixaqeDzI4uhY5H2I.1 ID riunione: 950 1204 3373 Codice d’accesso: 789010 Speaker: Claudio Macci (Università di Roma Tor Vergata) TITLE Some recent large deviation results on random neural networks ABSTRACT In this talk, I consider random neural networks with Gaussian weights and biases. A well-known result (proved under various assumptions in several references) concerns the convergence in distribution of the network output, in the infinite-width limit, to a centered Gaussian process with i.i.d. components (with the depth $L$ kept fixed). I will present some large deviation results describing a collapse of the network output (which, as expected, converges to the zero vector) when it is multiplied by a scaling factor tending to zero; see [1], where moderate deviations are also studied. In the final part, I will briefly outline some results in a very recent work (see [2]) concerning the deep limit (that is, as $L\to\infty$) for a generic component of the Gaussian process mentioned above. REFERENCES [1] C. Macci, B. Pacchiarotti, G.L. Torrisi. Journal of Applied Probability (2026), in press. [2] S. Di Lillo, C. Macci, B. Pacchiarotti. Submitted, and available on arxiv. -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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LinStat 2026
by Elvira Di Nardo 26 Jan '26

26 Jan '26

International Conference on Trends and Perspectives in Linear Statistical Inference August 24–28, 2026, Poznań University of Technology, Poznań, Poland This is to announce LinStat 2026, an international conference bringing together researchers interested in statistics and its applications, as well as matrix analysis and its use in statistics. The meeting will provide an opportunity to discuss current developments in linear statistical inference and related fields. The conference programme will include plenary lectures and a series of thematic sessions covering linear modelling methods, estimation, testing, and prediction in economic, medical, and social science data; multivariate and high-dimensional data analysis with complex data structures; robustness of statistical methods; variance component estimation in linear and generalized models; design and analysis of experiments; and applications of matrix methods in statistics. Special attention will be given to young scientists. Awards for the best poster and the best talk will be presented to graduate students or researchers with a recently completed Ph.D., and the prize-winning contributions will be promoted by the conference. Plenary Speakers: Syed Ejaz Ahmed (Brock University, Canada) Małgorzata Bogdan (University of Wrocław, Poland) Elvira Di Nardo (University of Turin, Italy) Werner G. Müller (Johannes Kepler University Linz, Austria) Thomas Mathew (University of Maryland Baltimore County, USA) Jianfeng Yao (The Chinese University of Hong Kong, Shenzhen, China) Further information is available at https://linstat2026.put.poznan.pl/ <https://linstat2026.put.poznan.pl/?utm_source=chatgpt.com> -- %------------------------------------------------------- Elvira Di Nardo Dept. Mathematics "G. Peano" University of Torino Via Carlo Alberto 10 10123 Torino, Italia tel. +39 0116702862 fax +39 0116702878 www.elviradinardo.it *https://sites.google.com/view/elviradinardo <https://sites.google.com/view/elviradinardo>* %-------------------------------------------------------

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Seminario Padova - Lucio Galeati
by alekos.cecchin＠unipd.it 23 Jan '26

23 Jan '26

Buongiorno a tutti, Vorremmo segnalarvi che venerdì prossimo (28 Novembre) alle 14:30 in aula 2BC30 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Lucio Galeati (Università dell'Aquila) <https://sites.google.com/view/lucio-galeati-math/home> https://sites.google.com/view/lucio-galeati-math/home Title: Anomalous dissipation and anomalous regularization in the Kraichnan model of turbulence Date: November 28, 2025, at 14:30, 2BC30 Abstract: In the 60s Kraichnan proposed a synthetic model for passive scalar turbulence, consisting of a scalar advected by a random Gaussian velocity field, white in time and -Holder continuous in space. Despite its simplicity, this SPDE displays anomalous dissipation of energy, spontaneous stochasticity and intermittency, which are also expected for more realistic turbulent fluids. At the same time, solutions to the inviscid SPDE are unique and can be recovered by vanishing viscosity and mollification schemes. In this talk I will present some recent further understandings on this model: i) solutions to the transport equation with initial data display anomalous regularisation and almost gain Sobolev regularity , but not better; ii) solutions to the continuity equation starting from Dirac deltas instantaneously gain Lebesgue integrability, due to the diffusive behaviour of Lagrangian particle splitting, and their variance at small times grows like . Based on joint works with M. Maurelli, F. Grotto, U. Pappalettera and T. Drivas. Vi aspettiamo numerosi! Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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