March 2025 - 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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call for the PhD program in Economics, Analytics and Decision Sciences
by Irene Crimaldi 14 May '25

14 May '25

Dear all, The call for applications to the IMT PhD program in *Economics, Analytics and Decision Sciences *(EADS) is out. We have at least *7 fully funded positions for up to 4 years*. *Please, share the call and prompt potentially interested students to apply. * Here you can find the *EADS* *website*: https://eads.imtlucca.it/ Here you can find the *information on the application procedure*: https://eads.imtlucca.it/how-to-apply_1 Best regards, Irene Crimaldi

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Mini-courses in GSSI trimester
by Lu Xu 25 Apr '25

25 Apr '25

Dear colleagues and friends, as part of the GSSI intensive trimester “Particles, Fluids and Patterns: analytical and computational challenges”, we are glad to announce 3 short courses in April: April 14-17: Prof. Makiko Sasada (Tokyo) April 28-30: Prof. Oriane Blondel (Lyon) and Prof. Alessandro Giuliani (Rome) Please see at the end of the email for the detailed place and time, titles and abstracts. Other courses hosted by the trimester can be found in https://trimester2025.math.gssi.it/all_courses/. Registration is free through the web form: https://indico.gssi.it/event/745/. We would be grateful if you could circulate the announcement among potentially interested students and researchers. For any information do not hesitate to contact us (patterns(a)gssi.it) ———————————————— Venue for all courses: Main Lecture Hall, Gran Sasso Science Institute (Viale F. Crispi 7, L’Aquila) ———————————————— Introduction to probabilistic aspects of integrable systems Lecturer: Makiko Sasada (The University of Tokyo) 14/4 (Mon) 9:00-10:30 15/4 (Tue) 14:15-15:45 16/4 (Wed) 10:45-12:15 17/4 (Thu) 9:00-10:30 In recent years, there has been growing interest in the study of integrable systems from the perspectives of statistical mechanics and probability theory. The theory of generalized hydrodynamics, developed by mathematical physicists, suggests that the macroscopic behavior of integrable systems is highly universal. To mathematically substantiate such theories with concrete models, a type of cellular automaton called the box-ball system (BBS) has been extensively studied by probabilists in recent years. The BBS, which exhibits solitonic behavior, has been studied from various viewpoints, such as tropical geometry, combinatorics, and representation theory, over 30 years. However, research from the probabilistic perspective began only about 10 years ago. Recently, probabilistic approaches, including the application of the Pitman transform, analysis of invariant measures, and scaling limits, have rapidly expanded. These have revealed new connections between probability theory and classical integrable systems, showing that the macroscopic behavior of integrable systems exhibits a universality distinct from that of chaotic systems. In this lecture, I will introduce these new research topics, mainly focusing on the box-ball system, and present the rigorous results obtained in the past several years, starting from the basic concepts. ———————————————— Long range order in atomistic models for solids Lecturer: Alessandro Giuliani (Rome Tre) 28/4 (Mon) 16:15-17:45 29/4 (Tue) 16:15-17:45 30/4 (Wed) 10:45-12:15 & 14:15-15:45 The emergence of long range order at low temperatures in atomistic systems with continuous symmetry is a fundamental, yet poorly understood phenomenon in physics. To address this challenge I will introduce a discrete microscopic model for an elastic crystal with dislocations in three dimensions, originally proposed by Ariza and Ortiz. The model is rich enough to support some realistic features of three-dimensional dislocation theory, most notably grains and the Read-Shockley law for grain boundaries, which I will review and show how to derive microscopically in the context of the Ariza-Ortiz model, at least in a simple, explicit geometry. I will also explain how to analyze the model at positive temperatures, in terms of a Gibbs distribution with energy function given by the Ariza–Ortiz Hamiltonian plus a contribution from the dislocation cores. The main result is that the model exhibits Long Range Positional Order (LRPO) at low temperatures. Its proof is based on the tools of discrete exterior calculus, together with cluster expansion techniques. In this mini-course I will introduce these methods and explain how to combine them in order to prove existence of LRPO. Time permitting, I will discuss some perspectives about the extension of these ideas and methods to two dimensions. Based on joint work with Florian Theil. ———————————————— Fluctuations in exclusion processes Lecturer: Oriane Blondel (University of Lyon 1) 28/4 (Mon) 10:45-12:15 29/4 (Tue) 9:00-10:30 & 14:15-15:45 30/4 (Wed) 16:15-17:45 We will focus on weakly asymmetric exclusion processes on the line or half-line, and investigate their fluctuations out of equilibrium. We will review the various tools used in proving convergence to the KPZ equation in the strategy initiated in [Bertini-Giacomin ‘97] and discuss how they can be adapted to the singular initial condition that arises when one considers fluctuations of the facilitated exclusion process at the interface. ———————————————— With our best wishes, Lu Xu Assistant Professor (RTDb) Gran Sasso Science Institute

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07.04--11.04: Mini-course Schmidt-Hieber at Tor Vergata
by Michele Salvi 03 Apr '25

03 Apr '25

Dear all, From the 7th until the 11th of April, RoMaDS <https://www.mat.uniroma2.it/~rds/events.php> will host <https://jschmidthieber.personalweb.utwente.nl/> <https://jschmidthieber.personalweb.utwente.nl/>Johannes Schmidt-Hieber <https://jschmidthieber.personalweb.utwente.nl/> (University of Twente) with the mini-course Statistical theory of deep learning The schedule is as follows: Mon 14:00-16:30, Wed 14:00-16:30, Fri 14:00-16:30. All lectures will be held in Aula Dal Passo in the Math Department of university of Rome, Tor Vergata. Here is the program for the three lectures: Lecture 1. Intro and theory for shallow networks Perceptron convergence theorem Universal approximation theorem Approximation rates for shallow neural networks Barron spaces Lecture 2. Theory for deep networks Advantages of additional hidden layers Deep ReLU networks Misclassification error for image deformation models Lecture 3. Theory of gradient descent in machine learning Optimization in machine learning Weight balancing phenomenon Analysis of dropout Benign overfitting Grokking We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6"} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…> The seminars are part of the Excellence Project MatMod@TOV.

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5th Spring Colloquium on Probability and Finance - Padova - 19 April 2024
by Claudio Fontana 02 Apr '25

02 Apr '25

Dear all, We are glad to announce the 5TH SPRING COLLOQUIUM ON PROBABILITY AND FINANCE, held at the Department of Mathematics "Tullio Levi-Civita" of the University of Padova, on APRIL 19TH, 2024. The Colloquium will bring together researchers in stochastic analysis and mathematical finance. The workshop will start at 10am and end at 5pm. Attendance is free but registration is required (on the conference website). Please note that, due to the small capacity of the conference room, we will be able to host only a limited number of attendees. WEBSITE: https://events.math.unipd.it/SpringColloquium5 INVITED SPEAKERS: - Eduardo ABI JABER (École Polytechnique, FR) - Huy Ngoc CHAU (University of Manchester, UK) - Giulia DI NUNNO (University of Oslo, NR) - Roxana DUMITRESCU (King's College London, UK) - David SKOVMAND (University of Copenhagen, DK) - Luca TASCHINI (University of Edinburgh, UK) We hope to see you in Padova! Best wishes, Giorgia Callegaro and Claudio Fontana

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Seminars in Statistics at Collegio Carlo Alberto - Sergios AGAPIOU (University of Cyprus)
by Matteo Giordano 28 Mar '25

28 Mar '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 04/04/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Sergios AGAPIOU (University of Cyprus) Title: HEAVY-TAILED BAYESIAN NONPARAMETRIC ADAPTATION OVER BESOV SPACES Abstract: We will consider the Bayesian recovery of an unknown function from direct observations polluted by white Gaussian noise, and we will be interested in studying the asymptotic performance of the posterior in the infinitely informative data limit, in terms of rates of contraction. We will be especially interested in priors which are adaptive to the smoothness of the unknown function. In the past decade, certain hierarchical and empirical Bayes procedures based on Gaussian process priors, have been shown to achieve adaptation to spatially homogenous smoothness. However, we have recently shown that Gaussian priors are suboptimal for spatially inhomogeneous unknowns, that is, functions which are smooth in some areas and rough or even discontinuous in other areas of their domain. Such unknowns are abundant in applications such as imaging, and can be modeled using Besov spaces, which generalize (the more widely known) Sobolev and Hölder spaces. In contrast to Gaussian priors, we have shown that (similar) hierarchical and empirical Bayes procedures based on Laplace (series) priors, achieve adaptation to both homogeneously and inhomogeneously smooth functions. All of these procedures involve the tuning of a hyperparameter of the Gaussian or Laplace prior. We will introduce Besov spaces and will recall their minimax theory developed in the mid-late 90’s and has various interesting features. After reviewing the above Bayesian results, we will present a new strategy for adaptation to smoothness based on heavy-tailed priors. Specifically, we will show that adaptive rates of contraction in the minimax sense (up to logarithmic factors) are achieved without tuning of any hyperparameters. This adaptation is achieved for both homogeneously and inhomogeneously smooth unknowns, in particular, we will show that the studied heavy-tailed priors are adaptive over all Besov spaces and for all L^p-losses, for p from 1 up to infinity. Extensive numerical simulations corroborating the theory will be presented as well. This is joint work with Masoumeh Dashti, Tapio Helin, Aimilia Savva and Sven Wang (Laplace priors), and Ismaël Castillo and Paul Egels (heavy-tailed priors) ------------------------------------------------ Sarà possibile il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 02/04/2025* 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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Associate Professor in Probabilistic Machine Learning in Oslo ?
by Arnoldo Frigessi 28 Mar '25

28 Mar '25

Want to be Associate Professor in Probabilistic Machine Learning in the Oslo Centre for Biostatistics and Epidemiology and Integreat, the Norwegian centre for Knowledge-driven Machine Learning, University of Oslo, Norway? Permanent position. Application deadline: May 18, 2025 Location: University of Oslo, Oslo, Norway Start date: To be agreed upon. Join us in shaping the future of Probabilistic Machine Learning in a vibrant international research community! Find out more: https://www.jobbnorge.no/en/available-jobs/job/276924/associate-professor-a… Apply now: https://www.jobbnorge.no/en/available-jobs/job/276924/associate-professor-a… More information: Integreat: https://www.integreat.no/ Oslo Centre for Biostatistics and Epidemiology: https://www.med.uio.no/imb/english/research/centres/ocbe/ University of Oslo International Office: https://www.uio.no/english/about/vacancies/ismo/ Contact us for a chat: Arnoldo Frigessi: frigessi(a)uio.no<mailto:frigessi@uio.no> Manuela Zucknick: manuela.zucknick(a)medisin.uio.no<mailto:manuela.zucknick@medisin.uio.no> Welcome to Norway, where we build trustworthy AI together.

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MOX COLLOQUIUM - 10.04.25 ore 14:30 – Mihaela van der Schaar
by Laura Maria Sangalli 27 Mar '25

27 Mar '25

Cari Colleghi, vi segnalo il seguente seminario, in modalità ibrida, della serie dei MOX COLLOQUIA: 10.04.25 Ore 14:30 - Aula IV, Edificio 11, Politecnico di Milano Speaker: Mihaela van der Schaar, Faculty of Mathematics, University of Cambridge Titolo: Can we discover fundamental laws from data using AI? Abstract: Discovering fundamental laws governing systems from observational data has long been a hallmark of scientific inquiry. In this talk, I will discuss how recent advances in AI and machine learning enable the automated discovery of scientific laws and governing equations directly from data, revolutionizing the way we unravel system dynamics in numerous domains, including medicine and pharmacology. I will highlight how AI-driven methods uncover underlying principles, from classical physics to biological systems to medicine, and offer insights into future possibilities—transforming data-driven observations into interpretable and actionable scientific knowledge. Yet, can we push this boundary further—going beyond equations entirely? I will introduce direct semantic modeling, a novel paradigm where AI learns the behavior of dynamical systems directly from data without relying on closed-form equations. This semantic approach offers intuitive, human-interpretable insights into system evolution, marking a transformative leap in scientific discovery. (This talk is based on recent research with Krzysztof Kacprzyk, Tennison Liu and Sam Holt.) Il seminario sarà accessibile online: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… https://cassyni.com/events/SAFbogPTLoJ6dkTvUoNtWy Seguirà rinfresco. Cari saluti, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> https://sangalli.faculty.polimi.it

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I: Open PhD Positions at TU Delft in Probability, Geometry, PDEs, and Optimal Transport
by Francesca Collet 27 Mar '25

27 Mar '25

Ricevo ed inoltro. Cordiali saluti, Francesca Collet ________________________________ Da: Richard Kraaij <R.C.Kraaij(a)tudelft.nl> Inviato: giovedì 27 marzo 2025 16:05 A: Francesca Collet <francesca.collet(a)univr.it> Oggetto: Open PhD Positions at TU Delft in Probability, Geometry, PDEs, and Optimal Transport Dear colleagues, The TU Delft Applied Probability section has three open PhD positions in the area where probability theory intersects with geometry, PDEs, and optimal transport. https://careers.tudelft.nl/job/Delft-PhD-Position-in-Probability-Theory-and… – Application deadline: April 6 https://careers.tudelft.nl/job/Delft-PhD-Position-in-Probabilty-Theory-and-… – Two positions available, application deadline: April 27 If you know anyone who might be interested, we would greatly appreciate it if you could share this opportunity within your networks and with potential candidates. Best regards, Rik Versendaal & Richard Kraaij

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Fwd: The 10th BSDE Conference in 2025
by Gianmario Tessitore - UNIMIB 27 Mar '25

27 Mar '25

Diffondo molto volentieri Dear Colleagues, We are pleased to announce that the website for *the 10th conference on BSDEs to be held in Shandong University, Qingdao, P.R. China, from June 26 to July 1, 2025*, is now ready: https://bsde2025.conferencesvc.com/ Here, you may find: - Key dates & submission guidelines - Registration details - Information on organizing sessions - Updates on invited speakers (The list of confirmed **invited speakers** will be updated on the website by the end of this month) **Call for Participation:** We warmly encourage you to: ✔ Submit proposals. ✔ Register early to secure your spot. Best regards, Juan Li Shandong University, Weihai & Qingdao On behalf of the local organizers. -- Gianmario Tessitore Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca

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QFinLab Seminar - Claudio Fontana (Università di Padova) - 2/4/2025, 12:15 @ Department of Mathematics, Politecnico di Milano
by Alessandro Calvia 27 Mar '25

27 Mar '25

Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Wednesday, 2 April 2025, 12.15-13.15 Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus) Claudio Fontana (Università di Padova) Title: A stochastic Gordon-Loeb model for optimal security investment under clustered cyber-attacks. Abstract: We propose a continuous-time extension of the Gordon-Loeb model for optimal investment in information security under the threat of cyber-attacks. The arrival of attacks is modeled using Hawkes processes, capturing the realistic feature of clustering in cyber-attacks. Each attack may lead to a system breach, with the probability of breach depending on the system's vulnerability. We aim at determining the optimal investment in cyber-security to reduce the system's vulnerability. The problem is formulated as a two-dimensional Markovian stochastic control problem and solved via dynamic programming techniques. We perform a numerical study of the value function and the associated optimal investment strategy in cyber-security, highlighting the impact of randomly arriving clustered cyber-attacks. Based on a joint work with G. Callegaro, C. Hillairet, B. Ongarato. Next seminar: Alessandro Sbuelz (Università Cattolica del Sacro Cuore), 7 May 12.15. All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>. The organizers: Michele Azzone and Alessandro Calvia.

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Stat Learning position in Luxembourg
by Giovanni Peccati 26 Mar '25

26 Mar '25

Dear Colleagues, A new position (Assistant/Associate level) in *Statistical Learning *is open at the *Department of Mathematics of Luxembourg University (DMATH)*. Deadline for applications; *June 30th, 2025* Here is a link to the official announcement: http://emea3.mrted.ly/3uk09 With kind 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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Fwd: International Seminar on SDEs ... : Apr 11: Arnaud Debussche
by Gianmario Tessitore - UNIMIB 26 Mar '25

26 Mar '25

Diffondo volentieri ---------- Forwarded message --------- Da: Stefan Geiss <geiss(a)jyu.fi> Date: Mer 26 Mar 2025, 07:15 Subject: International Seminar on SDEs ... : Apr 11: Arnaud Debussche To: <gianmario.tessitore(a)unimib.it> Best regards, Stefan Dear Colleague, tomorrow, Friday, April 11 , (12:30 noon London, 1:30 pm Berlin, 2:30 pm Helsinki, 7:30 pm Beijing) in the *International Seminar on SDEs and Related Topics* in Zoom https://jyufi.zoom.us/j/61891007917 Apr 11, 2025 *Arnaud Debussche* (ENS Rennes, France) will speak about *From correlated to white transport noise in fluid models* Abstract: Stochastic fluid models with transport noise are popular, the transport noise models unresolved small scales. The main assumption in these models is a very strong separation of scales allowing this representation of small scales by white - i.e. fully decorrelated - noise. It is therefore natural to investigate whether these models are limits of models with correlated noises. Also, an advantage of correlated noises is that they allow classical calculus. In particular, it allows to revisit the derivation of stochastic models from variational principles and allows to derive an equation for the evolution of the noise components. The advantage of having such an equation is that in most works, the noise components are considered as given and stationary with respect to time which is non realistic. Coupling stochastic fluid models with these gives more realistic systems. ===== about the speaker ==== Arnaud Debussche is a prominent French mathematician specializing in stochastic partial differential equations and their applications. Born in 1965, he attended the École Normale Supérieure de Saint-Cloud,where he pursued advanced studies in mathematics. He earned his Ph.D. from Université d'Orsay in 1989. Following a postdoctoral position at Indiana University, he joined the National Center for Scientific Research (CNRS) in 1992. In 2000, he became a full professor at the École Normale Supérieure de Rennes, where he continues to contribute significantly to the field. Throughout his career, Professor Debussche has made substantial contributions to the analysis and numerical simulation of stochastic partial differential equations, particularly in fluid dynamics. His work includes studies on the stochastic Navier–Stokes equations and the stochastic nonlinear Schrödinger equation. He has also co-edited scholarly works on stochastic partial differential equations, reflecting his active engagement in advancing mathematical understanding in this area. Professor Debussche's research has been widely recognized and cited, underscoring his influence in the mathematical community. His ongoing work continues to shape the study of stochastic processes and their applications in complex systems. ========our webpage is ======================== https://users.jyu.fi/~chgeiss/271828.html

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mini workshop a Pavia, 16 giugno
by Benedetta Ferrario 25 Mar '25

25 Mar '25

Carissime/i, segnaliamo che lunedì 16 giugno presso il Dipartimento di Matematica dell’Università di Pavia si terrà una giornata di seminari dal titolo "One-day workshop on SPDEs" La giornata è dedicata a Zdzislaw Brzezniak, che sarà ospite del Dipartimento nel mese di giugno. Ecco il link <https://sites.google.com/unipv.it/workshop-spdes-2025/home-page> al sito della conferenza, in cui trovate i dettagli. La scadenza per la registrazione - obbligatoria per motivi organizzativi - è il 2 maggio. Arrivederci a Pavia! Il comitato organizzativo Franco Flandoli, Enrico Priola, Benedetta Ferrario

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ESPIDAM - European Summer Program in Infectious Disease Analysis and Modelling
by Martina Favero 24 Mar '25

24 Mar '25

Dear all, We are happy to invite you to the second *European Summer Program in Infectious Disease Analysis and Modelling (*ESPIDAM*). * *Time*: June 23-27, 2025 *Location*: Stockholm University, Sweden *Registration Deadline*: May 31 (early birds: March 31) *Suitable participants*: PhD students, PostDocs, Public Health scientists and others interested *Structure*: The summer program consists of 7 course modules of which participants can attend one or two. *More information*: www.math.su.se/espidam *Contact: *espidam(a)math.su.se *Advisory board:* Tom Britton (chair), Simon Cauchemez, Sebastian Funk, Niel Hens, Mirjam Kretzschmar, Lorenzo Pellis Please spread to others you think might be interested. The early registration deadline is in one week. Warmly welcome! The local organising committee Tom Britton, Martina Favero and Fanny Bergrström

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Seminario PRISMA lunedì 7 aprile 2025 - S. Favaro & M. Beraha
by Sonia Mazzucchi 24 Mar '25

24 Mar '25

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. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb Il prossimo appuntamento è per lunedì 7 aprile 2025. I relatori saranno Stefano Favaro (Università di Torino) e Mario Beraha (Università di Milano Bicocca) che parleranno di: *Il modello di Ewens-Pitman per partizioni aleatorie e la sua (naturale) estensione alle allocazioni aleatorie* 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/87150580430 ID riunione: 871 5058 0430 Codice d’accesso: 591823 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Stefano Favaro (Università di Torino) e Mario Beraha (Università di Milano Bicocca) TITOLO: Il modello di Ewens-Pitman per partizioni aleatorie e la sua (naturale) estensione alle allocazioni aleatorie RIASSUNTO: Nella prima parte del seminario verrà introdotto il modello di Ewens-Pitman per partizioni aleatorie, presentandone una caratterizzazione in termini di sufficienza predittiva nell’ambito della classe dei modelli di campionamento di specie. Successivamente, verrà offerta una panoramica sui principali teoremi limite relativi al numero di blocchi e blocchi con molteplicità della partizione di Ewens-Pitman, con particolare attenzione alle fluttuazioni quasi-certe, ai principi di grandi deviazioni e alle fluttuazioni Gaussiane. Infine, si illustrerà un’applicazione del modello di Ewens-Pitman alla soluzione Bayesiana del problema della stima della “missing mass”, noto come problema di Good-Turing, e della stima del “unseen”, o problema di Fisher-Efron. Nella seconda parte del seminario si parlerà di allocazioni aleatorie; un’allocazione di N oggetti è un multi-insieme di sottoinsiemi non vuoti degli N oggetti che, al contrario di una partizione, possono non essere mutuamente esclusivi o esaustivi. Partendo dal modello Indian buffet di Ghahramani e Griffiths, che costituisce il naturale analogo del modello di Ewens nel caso di allocazioni, verranno presentati alcuni risultati sull’analisi Bayesiana di allocazioni aleatorie. In particolare, verranno discusse caratterizzazioni di sufficienza predittiva per allocazioni aleatorie, che generalizzano i corrispondenti risultati sui modelli di campionamento di specie. Due illustrazioni relative al problema delle “missing features” verranno descritte. %%%%%%%%%%%%%%%%%%%%%%%%%%%%

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seminario Enrico Biffis presso Memotef (Sapienza)
by Gabriele Stabile 24 Mar '25

24 Mar '25

Cari Colleghi, Vi informo che *mercoledì 26 marzo 2025*, alle ore 14,00 Il Prof. *Enrico Biffis* terrà il seminario dal titolo: Robust climate risk management (abstract disponibile al link https://memotef.web.uniroma1.it/it/seminario-enrico-biffis-26-marzo-2025) Il seminario avrà luogo presso l’aula matematica (facoltà di economia, primo piano) via del Castro Laurenziano 9, Roma Link per la partecipazione da remoto: https:// <https://meet.google.com/xwz-jhni-jic>meet.google.com/goj-ibvz-fdy <https://meet.google.com/goj-ibvz-fdy?hs=122&authuser=0> Gabriele Stabile

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OWABI - Meïli Baragatti - March 27 - 11am UK time
by Massimiliano Tamborrino 24 Mar '25

24 Mar '25

Dear all, the next OWABI seminar www.warwick.ac.uk/oneworldabc<http://www.warwick.ac.uk/oneworldabc> is quickly approaching, being scheduled on Thursday the 27th March at 11am UK time. Our next speaker is Meïli Baragatti<https://www.vinifera-euromaster.eu/team/meili-baragatti/> (Université de Montpellier), who will talk about "Approximate Bayesian Computation with Deep Learning and Conformal Prediction", with an abstract reported below. Abstract: Approximate Bayesian Computation (ABC) methods are commonly used to approximate posterior distributions in models with unknown or computationally intractable likelihoods. Classical ABC methods are based on nearest neighbor type algorithms and rely on the choice of so-called summary statistics, distances between datasets and a tolerance threshold. Recently, methods combining ABC with more complex machine learning algorithms have been proposed to mitigate the impact of these "user-choices''. In this talk, I will present you the first, to our knowledge, ABC method completely free of summary statistics, distance, and tolerance threshold. Moreover, in contrast with usual generalizations of the ABC method, it associates a confidence interval (having a proper frequentist marginal coverage) with the posterior mean estimation (or other moment-type estimates). This method, named ABCD-Conformal, uses a neural network with Monte Carlo Dropout to provide an estimation of the posterior mean (or other moment type functionals), and conformal theory to obtain associated confidence sets. I will compare its performances with other ABC methods on several examples, and show you that it is efficient for estimating multidimensional parameters, while being "amortized". Keywords: Likelihood-free inference · Approximate Bayesian computation · Convolutional neural networks · Dropout · Conformal prediction Reference: M. Baragatti, B. Cloez, D. M´etivier, I. Sanchez. Approximate bayesian computation with deep learning and conformal prediction. Preprint at ArXiv: 2406.04874, 2024. This talk is hosted on the OWABI Ms Teams Channel, which is available here https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…. The MS Teams link to join Meïli Baragatti's talk is https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh… Meeting ID: 328 977 159 098 Passcode: zy9vS32A We're looking forward to seeing you at the next OWABI seminar, best, Massimiliano on the behalf of the OWABI 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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Ph.D. course by Vojkan Jaksic - Dip. Matematica - La Sapienza
by Faggionato, Alessandra 22 Mar '25

22 Mar '25

Buongiorno, nell'ambito delle attività del Progetto di Eccellenza 2023-2027 del Dipartimento di Matematica "G. Castelnuovo" il professor *Vojkan Jakšic* (McGill University, Montreal & Politecnico di Milano, Milano) terrà un corso di dottorato intitolato *MODERN NON-EQUILIBRIUM STATISTICAL MECHANICS* secondo il seguente calendario: *PART I. Classical Statistical Mechanics* I.1) giovedì 3 aprile, ore 12:00-13:30, sala di Consiglio I.2) giovedì 3 aprile, ore 15:30-17:00, aula L I.3) venerdì 4 aprile, ore 12:00-13:30, sala di Consiglio I.4) venerdì 4 aprile, ore 15:00-16:30 sala di Consiglio *II. INTERLUDE: Elements of C*-algebras theory for Statistical Mechanics* (introductory material for students) Lunedì 7 aprile, ore 10-13, sala di Consiglio *III. Quantum Statistical Mechanics* Per evitare sovrapposizione con il workshop "*Stochastic Equations and Particle Systems*", questa parte del corso viene posticipata ad una successiva settimana di aprile, da concordarsi con i partecipanti alla prima parte. Tutte le attività si svolgeranno presso il Dipartimento di Matematica "G. Castelnuovo". Tutte le persone interessate sono benvenute. Si assume che i/le partecipanti abbiano una conoscenza di base dei metodi matematici della Meccanica Statistica e della Meccanica Quantistica. Il programma del corso, in allegato, è stato leggermente modificato rispetto al primo annuncio. -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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Keynote Lineup & Call for Papers – IFIP Performance 2025
by Zocca, A. (Alessandro) 21 Mar '25

21 Mar '25

Dear colleagues, We are pleased to announce an exciting lineup of keynote speakers for the IFIP Performance 2025 conference, which will take place at Centrum Wiskunde & Informatica (CWI) in Amsterdam from November 11 to 14, 2025: * Dr. Mark Squillante (IBM Research) “At the Intersection of Applied Probability, Performance Evaluation and Quantum Computing” * Prof. Pierre Pinson (Imperial College London) “Analytics of Energy Markets and Networks” * Prof. Nelly Litvak (TU Eindhoven) “Random Walks on Complex Networks” * Dr. Remco Litjens (TNO and TU Delft) “Performance Challenges for 6G Mobile Networks” We also want to remind you about our call for papers<https://performance2025.sciencesconf.org/resource/page/id/1>, encourage you to submit your work, and join us for an exciting conference. IFIP Performance 2025 is an excellent venue to share cutting-edge research on performance evaluation methodologies and their diverse applications. Key areas of interest include: * Methodologies: Analytical modeling, resource allocation, queueing theory, optimization, machine learning, statistical analysis, simulation, anomaly detection, sustainability analysis, and system performance monitoring. * Application areas: AI/ML platforms, blockchain, cloud and edge computing, HPC, cyber-physical systems, IoT, smart grids, social networks, data centers, quantum computing, wireless networks, and security systems. The submission platform is now online at https://performance2025.sciencesconf.org/ and will be open for submissions on May 1, 2025. Detailed submission guidelines and requirements are available here<https://performance2025.sciencesconf.org/resource/page/id/1>. Please note that the abstract submission deadline is May 25, 2025 (AoE), while the full paper submission deadline is June 1, 2025 (AoE). Accepted regular papers will be published in Performance Evaluation (PEVA), with extended abstracts in ACM Performance Evaluation Review (PER). Authors may alternatively opt for expedited review in ToMPECS, QUESTA, or Stochastic Models. We look forward to your submissions and participation! Best regards, Alessandro Zocca (on behalf of the IFIP Performance 2025 organizers)

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PhD positions in Mathematical Statistics at Stockholm University
by Martina Favero 21 Mar '25

21 Mar '25

Dear all, The Department of Mathematics at Stockholm University invites applications for 1-2 PhD student positions in mathematical statistics, with a wide range of topics in probability and statistics to choose from. The application deadline is April 22. For more details, see the advertisement: https://su.varbi.com/en/what:job/jobID:805151/ Best wishes, Martina

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Avviso di Seminario: Radu Craiu @Memotef, Sapienza7 aprile 2025
by Brunero Liseo 21 Mar '25

21 Mar '25

Il prof. Radu Craiu, Dept. of Statistical Sciences - University of Toronto, terrà un seminario dal titolo *Statistical Elucidation of Latent Structures via Copulas.* *Abstract*: Latent variable models, be they static or dynamic, are ubiquitous in statistical analyses. We present copula-based extensions of such models and discuss the inferential benefits and computational challenges that result from these extensions. The methodology is illustrated using numerical experiments and data analyses Quando: *Lunedì 7 aprile ore 12* Dove:* Aula Di Fresco*, quarto piano della Facoltà di Economia, Ala Amministrazione. *Per seguire il seminario a distanza: * 1. collegarsi alla pagina https://memotef.web.uniroma1.it/it/aule-e-laboratori-memotef-link-zoom 2. Selezionare Aula Di Fresco mediante il Link Studente BL ============================================ Brunero Liseo *Dip. di metodi e modelli per il territorio, l'economia e la finanza * *Sapienza Università di Roma* *Viale Castro Laurenziano, 9 Roma I-00161 *Tel. +39 06 49766973 Fax +39 06 4957606 *https://sites.google.com/a/uniroma1.it/brulis/home <https://sites.google.com/a/uniroma1.it/brulis/home>* ============================================

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YEPXX | 23-27 June | registration is now open
by Simone Baldassarri 20 Mar '25

20 Mar '25

Dear Colleagues, This is the second announcement for the 20th edition of the Young European Probabilists (YEP) workshop *Interacting Particle Systems on Random Structures, *which will take place on *23-27 June, 2025* in *EURANDOM* at Eindhoven University of Technology. The workshop will be centered around interacting particle systems on and of complex systems, aiming at describing criticality, phase transitions, and finite-size corrections in problems at the interface of mathematics, physics, biology, and computer science. This workshop aims to bring together young researchers and renowned scientists to share ideas, discuss research, and enable the next generation of researchers to obtain an overview of the emerging research field on this theme. The workshop will feature 3 mini-courses by the following distinguished speakers: - Shankar Bhamidi (University of North Carolina) - Cristian Giardinà (Università degli Studi di Modena e Reggio Emilia) - Andrea Montanari (Stanford University) The workshop will also include invited talks by the following distinguished speakers: - Alessandra Bianchi (Università di Padova) - Francesca Collet (Università di Verona) - Elena Magnanini (Weierstrass Institut) - Noela Müller (TU Eindhoven) - Elena Pulvirenti (TU Delft) - Wioletta Ruszel (Utrecht University) - Mei Yin (University of Denver) - Irene Ayuso Ventura (Durham University) There will also be short talk and poster sessions for early postdocs and PhD students based on abstract proposals. Registrations are now open at *YEPXX | Interacting Particle Systems on Random Structures <https://www.eurandom.tue.nl/event/yepxx-interacting-particle-systems-on-ran…>*. Subject to sufficient final resources we will consider granting additional funding for young researchers. If you want to apply for this, please send an email to: *eurandom.office(a)tue.nl <eurandom.office(a)tue.nl>*. Further information is available on the website of the event. We would be grateful if you could circulate the announcement among potentially interested researchers. Please feel free to contact us for any additional information. Looking forward to meeting you in Eindhoven! The organizing committee, Simone Baldassarri, Remco van der Hofstad, Vanessa Jacquier, Matthias Löwe The organizers of this workshop are committed to ensuring that scientific events are accessible to everyone, regardless of their identity, and are devoted to creating a safe and respectful environment for all participants.

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Seminario Lorenzo dello Schiavo
by Gustavo Posta 20 Mar '25

20 Mar '25

Nell'ambito delle attività del Progetto di Eccellenza 2023-2027 del Dipartimento di Matematica "G. Castelnuovo" il professor Lorenzo dello Schiavo, Dipartimento di Matematica dell'Università degli Studi di Roma Tor Vergata, terrà 2 seminari nell'aula L del Dipartimento di Matematica "G. Castelnuovo" il 2 aprile 2025 alle 16:00 e il 10 aprile 2025 alle 14:30 dal titolo Massive particle systems, Wasserstein Brownian motions, and the Dean–Kawasaki equation (Part I & II) Sunto: Let W be a conservative, ergodic Markov diffusion on some arbitrary state space M, converging exponentially fast to equilibrium. We consider: (1) Systems of up to countably many massive particles in M, with finite total mass. Each particle is subject to an independent instance of the noise W, with volatility the inverse mass carried by the particle. We prove that the corresponding infinite system of SDEs has a unique solution, for every starting configuration and every distribution of the masses in the infinite simplex. (2) Solutions to the Dean--Kawasaki SPDE with singular drift, driven by the generator L of W. We prove that the equation may be given rigorous meaning on M, and that it has a unique `distributional’ solution. This extends Konarovskyi--Lehmann--von Renesse's `ill-posedness vs. triviality' to the case of infinitely many massive particles. (3) Diffusions with values in the space P of all probability measures on M, driven by the geometry induced by L. (4) In the case when M is a manifold, differential-geometric and metric-measure Brownian motions on P induced by the geometry of optimal transportation and reversible for a normalized completely random measure. We show that all these objects coincide. The first talk will survey general aspects of the constructions, mostly focussing on (1) and (3). The second talk will focus on (2) and explain its relations with known results about the Dean–Kawasaki equation. Gli interessati sono invitati a partecipare. ---------------------------------------------------------------- Gustavo Posta Dipartimento di Matematica Università di Roma "la Sapienza" P.le A. Moro 2, 00185 Roma Italy web: http://www1.mat.uniroma1.it/~posta e-mail: gustavo.posta(a)uniroma1.it phone: +39-06-4991-4969 -----------------------------------------------------------------

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