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

Fwd: Workshop on March 25-28 -- Stochastic Dynamics and Stochastic Equations
by Marco Romito 11 Jul '26

11 Jul '26

-------- Forwarded Message -------- Dear Colleagues, I would like to advertise a workshop on stochastic dynamics and stochastic equations. https://www.epfl.ch/labs/stoan/workshops/ Regards, Xue-Mei ------------------------------------------------- Professor Xue-Mei Li Chair of Stochastic Analysis Mathematics EPFL --The École polytechnique fédérale de Lausanne ------------------------------------

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Call for applications - MAPPA double degree master program - Padova & Paris Dauphine
by Claudio Fontana 09 Apr '26

09 Apr '26

Dear colleagues, I am pleased to share with you the call for applications for the MAPPA program, a DOUBLE-DEGREE MASTER PROGRAM IN MATHEMATICS jointly offered by the UNIVERSITY OF PADOVA and PARIS DAUPHINE UNIVERSITY (Paris Sciences & Lettres). This two-year program offers three specialized study paths: - MATHEMATICAL ANALYSIS - PROBABILITY AND FINANCE - PROBABILITY AND STATISTICAL MECHANICS Admitted students will spend their first year in Padova and their second year in Paris. Upon successful completion of the program, students will be awarded two degrees: Laurea Magistrale in Matematica (from Padova) and Master in Mathematics and Applications (from Paris Dauphine). The master thesis will be conducted in collaboration with two supervisors, one in Padova and one in Paris. Admission to the program, limited to 10 students, will be based on CV, presentation letters, and an interview. Financial support and fellowships are available for admitted students. For more information on the MAPPA program, please visit: https://web.math.unipd.it/mappawp The call for applications (bando) can be found here: https://www.math.unipd.it/news/bando-di-concorso-n-1-2025-per-10-posti-per-… The _DEADLINE FOR APPLICATIONS_ is MAY 12, 2024, AT 12:00. Please share this opportunity with your bachelor students, and feel free to contact me for further information. Best Regards, Claudio Fontana

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Workshop Junior Female Researchers in Probability in Berlin, 24--26 June 2026
by Alexander Zass 03 Mar '26

03 Mar '26

Care colleghe e colleghi, vi annunciamo che sono aperte le registrazioni per il workshop Junior Female Researchers in Probability, che si terrà a Berlino dal 24 al 26 giugno 2026. Sotto l’annuncio completo. Vi prego di diffonderlo a chiunque crediate possa interessare. Alexander Zass — We're excited to announce the workshop Junior Female Researchers in Probability, taking place June 24–26, 2026 at TU Berlin. The workshop offers junior female researchers in probability a platform to present their research and network in an informal setting. Keynote lectures will be given by: Patricia Alonso Ruiz (University of Jena) Alison Etheridge (University of Oxford) Patriçia Goncalves (IST Lisbon) Additional invited talks will be given by: Alejandra Avalos-Pacheco (JKU Linz) Ofelia Bonesini (LSE London) Chengcheng Ling (University of Augsburg) We warmly invite those who identify as female to submit abstracts for contributed talks, and apply for financial support for travelling to Berlin. For details on abstract submission and registration, visit the website: https://www.wias-berlin.de/workshops/JFRP26/ The deadline for registration is March 1, 2026. The organising team — Peter Bank, Franziska Bielert, Dörte Kreher, Helena Kremp, Gemma Sedrakjan, Janine Steck, Thomas Wagenhofer, Maite Wilke Berenguer, Alexander Zass — is looking forward to welcoming you in Berlin for a productive and engaging workshop.

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Doctoral Colloquium in Risk Analytics (session 5)
by Maria Elvira Mancino 02 Mar '26

02 Mar '26

*Doctoral Colloquium in Risk Analytics* https://landing.cafoscarichallengeschool.it/docra/ The fifth session on *Decentralized Finance and risk challenges from CBDCs and crypto markets* will be held on April, 13-24, 2026, by: *a) *Week 1: *Alfred Lehar, *University of Calgary, *Decentralized Finance* *b) *Week 2: *Gina Pieters*, Digital Economy Consulting, and Cambridge Centre for Alternative Finance, U. Cambridge*, * *Anticipating new risk channels from CBDCs, Stablecoins, and Crypto Markets* We seek PhD students from Italian or Foreign Universities, who remain aﬃliated with their Doctoral School. Students must attend the whole session. They may get credit for the courses taken within the Colloquium. *There are no participation fees; travel and accommodation are covered by the Colloquium* (see below). Up to four additional participants, including further Doctoral Students, Postdocs, Junior Faculty, or PhDs working in the industry, may be admitted at their own travel and accommodation expenses. *Venue* Polo Didattico San Basilio <https://www.unive.it/pag/10128/>, Venice We offer: - an outstanding Faculty of leading researchers; - work in a multidisciplinary team with other doctoral candidates; - no tuition fees, with - free accommodation on the Camplus Santa Marta and Centro Culturale Don Orione Artigianelli (walking distance of the San Basilio venue); - travel expenses reimbursed (up to 200 euro). Each session includes two courses. Each course is delivered over 20 hours over one week, combining frontal teaching, oﬃce hours/discussions, assignments and presentation of research by the students. Students who achieve a Pass obtain 4 ECTS per course. *Applications* Students can apply through the site https://landing.cafoscarichallengeschool.it/docra/ *Deadline : March 6, 2026* For more information, please visit https://landing.cafoscarichallengeschool.it/docra/ or get in touch through colloquia.cicf(a)unive.it. We’ll be happy to organize a zoom session. *DoCRA is a joint initiative of CICF (team leader), IUSS Pavia, IMT Lucca, SISSA Trieste, Scuola di Studi Superiori Carlo Urbani in Camerino, Scuola di Studi Superiori Giacomo Leopardi in Macerata, Scuola Superiore F. Rossi in Torino, Scuola Superiore Universitario Di Toppo Wassermann in Udine*

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[STAR Seminars] Wed Feb 25 - Yi Feng
by Leonardo Tarquini 18 Feb '26

18 Feb '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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Seminario Padova - Lucio Galeati
by alekos.cecchin＠unipd.it 13 Feb '26

13 Feb '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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Seminar Mark Veraar 02/02/26 - Rome
by Antonio Agresti 30 Jan '26

30 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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3rd Verona Early Career Workshop in Economics and Financial Mathematics - Call for papers
by Athena Picarelli 30 Jan '26

30 Jan '26

Dear colleagues, The Department of Economics of the University of Verona is happy to announce the *3rd Verona Early Career Workshop in Economics and Financial Mathematics*, which will be held on *May 12–13, 2026 *in Verona, Italy. We are planning a small-scale, in-person meeting. We encourage participation from all *PhD students* and *early career researchers* who have completed their PhD in the last two years. The aim of the meeting is to promote the exchange of ideas among young researchers in all fields of economics and mathematical finance. *No registration fee is required. Coffee breaks and the social dinner are covered by the workshop organization.* We are pleased to announce our keynote speaker: *Erich Battistin *(University of Maryland) The *deadline* for the submission of abstracts is *February 28, 2026*. Workshop’s webpage: https://sites.google.com/view/ecwe-verona/home Call for Papers: https://drive.google.com/file/d/1MxBlzF_Lwfor2uKIFizna9twYnvX79cJ/view Submission Form: https://docs.google.com/forms/d/1NuPt5amFc-xCPnmTU_LDoALNdgHdHsm8udguDy5s_Y… If you have any questions regarding the workshop, please email us at ecwef26(a)dse.univr.it. We look forward to seeing you in Verona! Best wishes, Athena Picarelli and the Organisers: Clara Fertonani, Marco Scaratti, Andrea Stanghellini. -- *Athena Picarelli* Professor Coordinator of the PhD program in Economics and Finance Dipartimento di Scienze Economiche Università di Verona Polo Santa Marta, Verona.

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SEMINAR: Ester Mariucci @Luiss - 12 feb
by Matteo Iacopini 30 Jan '26

30 Jan '26

Dear all, On Thursday, 12th February, at 12:00 in room A304b, the Department of AI, Data and Decision Sciences of Luiss University of Rome will host a seminar by Ester Mariucci (Université Paris-Saclay) Title: "Understanding the Small Jumps of Lévy Processes: Approximations and Nonparametric Estimation” Abstract: There is a rich literature on approximations of the small jumps of a Lévy process, with a particular focus on Gaussian approximations. These approximations are often used to simplify analysis, but their validity depends critically on the observation scheme, in particular whether the data are collected at high or low frequency. In many situations, the Gaussian approximation may not be appropriate, and a more precise understanding of the law of small jumps is necessary. In this talk, we will discuss two complementary approaches. First, we explore approximations of the small jumps and provide quantitative control of their accuracy using distances such as the Wasserstein distance and total variation. Second, we investigate nonparametric density estimation of the small jumps based on discrete observations of a single trajectory. Estimating this density allows us to better understand the underlying distribution of small jumps. We present results for both low-frequency and high-frequency observation settings. In the low-frequency case, assuming that the Lévy density associated with large jumps is known, a spectral estimator exploiting the deconvolution structure achieves minimax parametric rates of convergence with respect to the integrated L2 loss, up to a logarithmic factor. In the high-frequency case, the assumption on the knowledge of the Lévy measure of large jumps can be relaxed; the rate of convergence then depends on the sampling scheme and on the behavior of the Lévy measure near zero, and is minimax up to a logarithmic factor. We also propose an adaptive penalized procedure to select the cutoff parameter. These results are further extended to include the case where a Brownian component is present. Finally, we illustrate our findings through extensive simulations. Anyone interested in attending is welcome; just email me for logistical purposes. Hoping to meet you there! Best, 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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BioInference 2026 - Final call for abstracts
by Massimiliano Tamborrino 30 Jan '26

30 Jan '26

Dear all, if you are interested in giving a contribute talk or poster at BioInference2026 (St Andrews, Scotland, 10th-12th June 2026), please submit your abstract by tomorrow, the 31st January here https://docs.google.com/forms/d/e/1FAIpQLSc8VlIsRWPs3acc1lkOw4Uap0IWmKVSVaD… More information is available on the website https://bioinference.github.io/2026/ and below. Best, Massimiliano on the behalf of the BioInference2026 Organising Committee ---------------------- BioInference brings together researchers from statistics and mathematical modelling who work on biological systems, creating a lively space for exchanging ideas, sparking collaborations, and building community across all career stages. After last year’s successful three-day meeting in Bardonecchia, we’re excited to return with another three days packed with invited and contributed talks, poster sessions, and dedicated networking opportunities. Call for Abstracts We now invite submissions for oral or poster presentations on any work involving mathematical modelling, statistical methods, or machine learning approaches for broadly interpreted biological problems. All presentations will be in person with no parallel sessions. Abstract deadline: 31 January 2026 Submit here: Abstract Submission Link Invited Speakers for 2026 We are delighted to host an exceptional line-up of invited speakers: Marta Belchior Lopes (Universidade NOVA de Lisboa) Sokratia Georgaka (University of Manchester) Jochen Kursawe (University of St’ Andrews) Theo Kypraios (University of Nottingham) Sara Wade (University of Edinburgh) Michael Whitehouse (Imperial College London) Konstantinos Zygalakis (University of Edinburgh) Registration Registration for the conference will open soon. The registration fee (covering three lunches and all coffee breaks) is expected to be around £100. More Information Learn more about the conference, past talks and posters, and this year’s host town, St Andrews, at: https://bioinference.github.io/2026/ If you have any questions, feel free to contact us at bioinference(a)gmail.com or drop me an email. ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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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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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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Postdoc in Luxembourg
by Giovanni Peccati 23 Jan '26

23 Jan '26

Dear Colleagues, A 3-year post-doc position is open in my group, with a general focus on stochastic analysis. The earliest possible starting date is May 1st, 2026. Applications should be sent through the webpage below, which also contains more information: http://emea3.mrted.ly/43wi6 With my 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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BioInference2026 at St Andrews - Scotland!
by Massimiliano Tamborrino 23 Jan '26

23 Jan '26

Dear all, We are thrilled to announce that BioInference2026 is going to St Andrews, Scotland, from the 10th to the 12th of June, 2026! BioInference brings together researchers from statistics and mathematical modelling who work on biological systems, creating a lively space for exchanging ideas, sparking collaborations, and building community across all career stages. After last year’s successful three-day meeting in Bardonecchia, we’re excited to return with another three days packed with invited and contributed talks, poster sessions, and dedicated networking opportunities. ________________________________ Call for Abstracts We now invite submissions for oral or poster presentations on any work involving mathematical modelling, statistical methods, or machine learning approaches for broadly interpreted biological problems. All presentations will be in person with no parallel sessions. Abstract deadline: 31 January 2026 Submit here: Abstract Submission Link<https://docs.google.com/forms/d/e/1FAIpQLSc8VlIsRWPs3acc1lkOw4Uap0IWmKVSVaD…> ________________________________ Invited Speakers for 2026 We are delighted to host an exceptional line-up of invited speakers: * Marta Belchior Lopes<https://martabelchiorlopes.wixsite.com/website> (Universidade NOVA de Lisboa) * Sokratia Georgaka<https://research.manchester.ac.uk/en/persons/sokratia.georgaka> (University of Manchester) * Jochen Kursawe<https://www.st-andrews.ac.uk/mathematics-statistics/people/jk263/> (University of St’ Andrews) * Theo Kypraios<https://www.maths.nottingham.ac.uk/plp/pmztk/> (University of Nottingham) * Sara Wade<https://sarawade.owlstown.net/> (University of Edinburgh) * Michael Whitehouse<https://michael-whitehouse.github.io/> (Imperial College London) * Konstantinos Zygalakis<https://webhomes.maths.ed.ac.uk/~kzygalak/> (University of Edinburgh) ________________________________ Registration Registration for the conference will open in 2026. The registration fee (covering three lunches and all coffee breaks) is expected to be around £100. ________________________________ More Information Learn more about the conference, past talks and posters, and this year’s host town, St Andrews, at: https://bioinference.github.io/2026/ If you have any questions, feel free to contact us at bioinference(a)gmail.com<mailto:http://bioinference@gmail.com>. Kind regards, Massimiliano on behalf of the 2026 BioInference Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Workshop Gnampa - 27 Gennaio - Luiss
by Marta Leocata 22 Jan '26

22 Jan '26

Cari colleghi, vi scrivo per comunicarvi che martedì 27 gennaio, presso la LUISS in Viale Romania 32, si terrà il workshop dal titolo “Mathematical Models for Climate Impacts”, che costituisce l’evento conclusivo del progetto GNAMPA “Mathematical methods for climate impacts: control, game theory, and inverse problems for EBCM”. In allegato trovate la locandina dell’evento. Per partecipare in presenza, o online, inviate una mail a mleocata(a)luiss.it <mailto:mleocata@luiss.it>. Marta

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LiBERA midterm workshop: Stochastic Dynamics, Interacting Particle Systems and Applications
by Stefano Pagliarani 21 Jan '26

21 Jan '26

Dear all, It is a pleasure to announce the LiBERA<https://site.unibo.it/libera/en> midterm workshop: International Workshop on Stochastic Dynamics, Interacting Particle Systems and Applications taking place 14th-19th June 2026 at Instituto Superior Técnico, Lisbon, Portugal The registration is open: https://sites.google.com/view/liberamidtermworkshop/home Title and abstract submission for short talks and posters is available until February 28th, 2026. Invited Speakers: Alekos Cecchin, University of Padova Maria Fernanda Cipriano, NOVA University Lisbon Ana Bela Cruzeiro, Instituto Superior Técnico Gonçalo dos Reis, University of Edinburgh Liliana Esquivel, University of Puerto Rico Noufel Frikha, Université Paris 1 Panthéon-Sorbonne Dario Gasbarra, University of Vaasa Erika Hausenblas, Montanuniversität Leoben (to be confirmed). Michael Högele, Universidad de Los Andes Mauricio Junca, Universidad de Los Andes Kush Kinra, NOVA School of Science and Technology Mateusz Majka, Heriot-Watt University Ester Mariucci, Laboratoire de Mathématiques de Versailles, Université de Versailles Saint-Quentin Leonard Monsaingeon, NOVA.Math NOVA FCT Maria João Oliveira, Universidade Aberta Stefano Pagliarani, University of Bologna Andrea Pascucci, University of Bologna Antonelle Pesce, University of Bologna Beatriz Salvador, Instituto Superior Técnico Günter Schütz, Instituto Superior Técnico Jonas Tölle, Aalto University Organizing committee Gerardo Barrera Vargas (CAMGSD, IST, Lisbon). Patrícia Gonçalves (CAMGSD, IST, Lisbon). Tiecheng Xu (CAMGSD, IST, Lisbon). LiBERA: https://site.unibo.it/libera/en

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[STAR Seminars] Wed Jan 21 - Susanna Dehò
by Leonardo Tarquini 21 Jan '26

21 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, January 21st, 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/67027975721>. The speaker is Susanna Dehò (University of Milano "La Statale") with the talk: Title: Symmetries of SDEs: from invariance properties to integration by parts formulas Abstract: The study of symmetries in differential equations, pioneered by Sophus Lie, constitutes a fundamental geometric approach to understand the invariance properties governing a dynamical system. By identifying the groups of transformations that preserve the equation’s structure, this framework provides systematic tools for order reduction, the construction of exact solutions, and the simplification of complex problems. Although symmetry analysis stands as a classical pillar for deterministic differential equations (ODEs and PDEs), supported by extensive literature, its extension to Stochastic Differential Equations (SDEs) represents a relatively recent field of research. Recent literature has also highlighted significant connections with the symmetries of the associated Fokker-Planck or Kolmogorov equations. Furthermore, the application of Lie symmetry theory to SDEs enables the derivation of integration by parts formulas inspired by Bismut’s variational approach to Malliavin calculus, with notable applications to the analysis of the law and regularity of the processes, as well as to the development of a stochastic calculus of variations. In this talk, we will discuss various notions of symmetry for SDEs, highlighting their connections to established invariance properties of well-known stochastic models and the symmetries of Kolmogorov PDEs. We will analyze how a geometric approach, inspired by Lie’s deterministic framework, enables the development of powerful computational tools for symmetry calculation. Subsequently, we will demonstrate how applying this geometric theory allows for the constructive derivation of an integration by parts formula for SDEs, rooted in Bismut’s approach. Finally, we will show how this integration by parts formula acts as a generating identity for well-known probability formulas, and discuss its connections to Stein’s identities. This contribution is based on a joint work with F.C. De Vecchi, P. Morando and S. Ugolini. Susanna Dehò, Francesco C. De Vecchi, Paola Morando, and Stefania Ugolini. Random rotational invariance of integration by parts formulas within a Bismut-type approach. Journal of Mathematical Physics: in print, 2025. We are looking forward to seeing you! Best regards, Giulia, Leonardo and Pere

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OWABI - Louis Sharrock - 29th January - 11am UK time
by Massimiliano Tamborrino 20 Jan '26

20 Jan '26

Dear all, the first One World Approximate Bayesian Inference (OWABI) seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi> of the year is quickly approaching! Our next speaker is Louis Sharrock<https://louissharrock.github.io/> <https://louissharrock.github.io/> (University College London) who will talk about "Sequential Neural Score Estimation: Likelihood-free inference with conditional score base diffusion models" on Thursday the 29th January at 11am UK time, with an abstract reported below. The talk will be streamed on the OWABI MS Team channel General | OWABI Seminar: One World Approximate Bayesian Inference Seminar | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…>, at the link below Join: https://teams.microsoft.com/meet/38899039621449?p=nCtiqu8zYnZNL2LGR8 Meeting ID: 388 990 396 214 49 Passcode: f3Dh22XL We are looking forward to seeing you at the next OWABI seminar, Best, Massimiliano on the behalf of the OWABI seminar organisers Speaker: Louis Sharrock (University College London) Title: Sequential Neural Score Estimation: Likelihood-free inference with conditional score base diffusion models Abstract: We introduce Sequential Neural Posterior Score Estimation (SNPSE), a score-based method for Bayesian inference in simulator-based models. Our method, inspired by the remarkable success of score-based methods in generative modelling, leverages conditional score-based diffusion models to generate samples from the posterior distribution of interest. The model is trained using an objective function which directly estimates the score of the posterior. We embed the model into a sequential training procedure, which guides simulations using the current approximation of the posterior at the observation of interest, thereby reducing the simulation cost. We also introduce several alternative sequential approaches, and discuss their relative merits. We then validate our method, as well as its amortised, non-sequential, variant on several numerical examples, demonstrating comparable or superior performance to existing state-of-the-art methods such as Sequential Neural Posterior Estimation (SNPE). Keywords: diffusion models, simulation based inference, sequential methods. Reference: L. Sharrock, J. Simons, S. Liu, M. Beaumont, Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models<https://proceedings.mlr.press/v235/sharrock24a.html>. PLMR, 235, 44565-44602, 2024. ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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StatMech Summer School 2026 - Random Interacting Systems, 31/08-4/09, Padova
by Alberto Chiarini 19 Jan '26

19 Jan '26

*************************** StatMech Summer School 2026 - Random Interacting Systems *************************** We are pleased to announce the StatMech Summer School 2026 to be held in Padova during the week of August 31 - September 4, 2026 https://sites.google.com/view/ris-school-26/home The theme of this school is Random Interacting Systems, which play a central role in modern probability and statistical mechanics and naturally arise in a wide range of applications at the interface of mathematics, physics, biology, and computer science. The school consists of two minicourses by Alessandra Faggionato (Sapienza University of Rome) Hubert Lacoin (IMPA) These will be complemented by selected lectures and by two sessions of short presentations by young participants, which are an important component of the school as they promote interaction among participants and provide a panorama of current research in probability. Registration is free but mandatory through the following link ("Register here!" button) https://sites.google.com/view/ris-school-26/home Some financial support to a limited number of young participants will be available. The deadline for requesting financial support is April 15th, 2026, and will be reviewed in May 2026. Contacts: ris-school26(a)math.unipd.it The organizers, Alessandra Bianchi Alberto Chiarini Giambattista Giacomin Vanessa Jacquier

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Seminario on-line PRISMA lunedì 2 febbraio 2026 - L. Zambotti & A. Bonicelli
by Sonia Mazzucchi 19 Jan '26

19 Jan '26

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/) I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://www.youtube.com/playlist?list=PLmySpc-jrtAMSrfXSQy_lBRY2sGEWnyir Il prossimo appuntamento è per *lunedì 2 febbraio* 2026. I relatori saranno *Lorenzo Zambotti *(Sorbonne Université) e *Alberto Bonicelli* (Sorbonne Université) che parleranno di: * La rivoluzione dell’analisi stocastica « pathwise »*. con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://unitn.zoom.us/j/87499722273 ID riunione: 874 9972 2273 Codice d’accesso: 412980 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Lorenzo Zambotti e Alberto Bonicelli (Sorbonne Université) TITOLO: La rivoluzione dell’analisi stocastica « pathwise ». RIASSUNTO: L’analisi stocastica, creata da Itô negli anni 40, ha dominato la teoria dei processi stocastici fino alla fine del XX secolo e oltre. Negli ultimi 25 anni una serie di nuove idee ha arricchito questa teoria e permesso dei progressi spettacolari, in particolare nello studio delle equazioni stocastiche alle derivate parziali. Le tecniche principali in questa area di ricerca sono i rough paths, il sewing lemma, le strutture di regolarità e le distribuzioni para-controllate. In questo seminario vogliamo presentare le idee principali di questo settore, in particolare la nozione di integrazione stocastica « pathwise », il teorema di ricostruzione e le espansioni di Taylor generalizzate.

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