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Call for Abstracts: 30th Nordic Conference in Mathematical Statistics, NORDSTAT 2026, June 1-4 2026, Helsinki, Finland,
by Gasbarra, Dario 16 Sep '25

16 Sep '25

Dear friends of Statistics and Stochastics, the 30th Nordic Conference in Mathematical Statistics, NORDSTAT 2026, will be hosted by the University of Helsinki, Finland, on June 1-4 2026, and the call for abstracts, contributed talks and poster presentations is now open. All the information is at the conference website https://www.helsinki.fi/en/conferences/nordstat-2026 and you can contact the organizers at grp-nordstat26(a)helsinki.fi<mailto:grp-nordstat26@helsinki.fi> Welcome to Helsinki! The organizing committee.

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SPASS seminar: Michele Coti Zelati
by Mario Maurelli 16 Sep '25

16 Sep '25

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi (abstract below): *Alpha-unstable flows and the fast dynamo problem* by *Michele Coti Zelati* (Imperial College London) The seminar will take place on *THURSDAY, 25.09.2025* at *09:00 CEST *(mind unusual date and time) in Aula Seminari, Dipartimento di Matematica, UNIPI and streamed online at this link <https://meet.google.com/gji-phwo-vbg>. Best regards Mario Maurelli https://sites.google.com/unipi.it/spass <https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…> -------------------------------------------- *Title: **Alpha-unstable flows and the fast dynamo problem* *Abstract: The fast dynamo problem concerns the generation and maintenance of magnetic fields by fluid motion through the process of electromagnetic induction. In passive vector advection, this can be formulated as the exponential growth of the magnetic energy, at a resistivity-independent rate. In this talk, I will provide a construction of a Lipschitz, divergence-free and time-independent velocity field that is a fast dynamo on the whole space.*

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La Statistica al CNR al servizio del Paese - 2025
by ANTONELLA BODINI 15 Sep '25

15 Sep '25

Care colleghe, cari colleghi, a ottobre si svolgerà, interamente online, la terza edizione del convegno La Statistica al CNR al servizio del Paese, dedicato agli studi condotti da ricercatori CNR a favore dello sviluppo tecnologico, economico, sociale e culturale del Paese, in cui la Statistica ha un ruolo di rilievo. Questa edizione è organizzata in due sessioni: * il 17 ottobre, dalle 10:00, si terrà la sessione per le scuole * il 20 ottobre, dalle 14:30, si terrà la sessione dedicata alla ricerca La sessione per le scuole si caratterizza per un taglio più divulgativo, ma certamente presenta temi di grande interesse come la necessità di preparare un buon protocollo di studio prima di qualunque ricerca che coinvolga soggetti umani; una spiegazione su base scientifica su come le società calcistiche riescano a ottenere risultati migliori sia dai singoli atleti sia dalle squadre nel loro complesso, accompagnata da una riflessione su come tali risultati si trasferiscano alla società in generale; i risultati di alcune survey condotte sugli adolescenti in tema di comportamenti sostenibili con riferimento al cambiamento climatico e di percezione del proprio futuro. La sessione per la ricerca considera diverse applicazioni degli algoritmi di IA (dal settore energetico, alla manutenzione, alla diagnostica per immagini), l’uso della statistica per analizzare e interpretare processi cognitivi complessi come la lettura, e l’importanza degli studi longitudinali nello studio della società. Entrambe le sessioni sono aperte a tutti gli interessati! Il programma integrale è disponibile al sito: https://stat-cnr.mi.imati.cnr.it/ La partecipazione è gratuita, previa registrazione (a uno o entrambi gli eventi) entro il 10 ottobre sul sito. Vi preghiamo di dare la più ampia diffusione all'iniziativa. ----------------------------------------------------------------------------------------------------------------------- Antonella Bodini Istituto di Matematica Applicata e Tecnologie Informatiche "E. Magenes" CNR-IMATI via E. Bassini 15, 20133 Milano https://imati.cnr.it/mypage/people/BodiniAntonella.htm

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Workshop "ODOSP25: One Day on Optimal Stopping Problems”, Friday September 19th, Padova (IT)
by Bernardo D'Auria 15 Sep '25

15 Sep '25

Dear all, I am pleased to announce that on Friday, September 19th, a short workshop will take place at the University of Padua entitled “ODOSP25: One Day on Optimal Stopping Problems”. The event will be held in room 7B1 of the Math Department (Torre Archimede, Via Trieste 63, 35121 Padova) and will provide an opportunity to discuss recent advances in the study of optimal stopping problems. The aim of the workshop is to bring together several researchers who have made significant contributions to this field, with the hope of stimulating new ideas and discussions on open problems. The participation of young researchers and PhD students is particularly encouraged. For further information, please refer to the following link: https://www.math.unipd.it/~dauria/ODOSP25/ ODOSP25 math.unipd.it Best regards, o n behalf of the organisers, Alessandra Bianchi, David Barbato, and Bernardo D’Auria This workshop is organized thanks to the support of the project SID/BIRD239937 - “Stochastic dynamics on graphs and random structures” and the Department of Mathematics.

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sostegno alla candidatura di Francesco CARAVENNA - elezioni del Consiglio Scientifico del gruppo GNAMPA dell'INdAM
by Antonio DI CRESCENZO 15 Sep '25

15 Sep '25

A tutti gli interessati Desideriamo esprimere il nostro pieno sostegno alla candidatura del Prof. *Francesco CARAVENNA* al Consiglio Scientifico del gruppo GNAMPA dell'INdAM, per le elezioni che si svolgeranno il *17 e 18 settembre 2025*. La sua attività scientifica di altissimo livello, l’ampio raggio dei suoi interessi di ricerca e il costante impegno nella formazione di giovani matematici e nella promozione di iniziative scientifiche rappresentano una garanzia di qualità e di visione per il futuro del gruppo. Il suo contributo sarà prezioso per rafforzare ulteriormente il ruolo del gruppo GNAMPA come riferimento per la comunità matematica italiana e internazionale. *Giacomo Aletti, Luisa Beghin, Luciano Campi, Pietro Caputo, Lucia Caramellino, Paolo Dai Pra, Ernesto De Vito, Antonio Di Crescenzo, Fabrizio Durante, Salvatore Federico, Benedetta Ferrario, Franco Flandoli, Claudio Fontana, Marco Fuhrman, Giambattista Giacomin, Alberto Lanconelli, Domenico Marinucci, Fabio Martinelli, Sonia Mazzucchi, Federico Polito, Enrico Priola, Pietro Rigo, Marco Romito, Laura Sacerdote, Giuseppe Sanfilippo, Enrico Scalas, Dario Trevisan, Dimitrios Tsagkarogiannis*

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4th Workshop “Mathematics for Artificial Intelligence and Machine Learning”
by Agliari, Elena 15 Sep '25

15 Sep '25

Dear Colleagues, Following the previous editions - held in Bari [UMI2025 <https://umi-math4aiml2025.uniba.it/>], Milan [UMI2024 <https://dec.unibocconi.eu/mathematics-artificial-intelligence-and-machine-l…>] and Turin [UMI2023 <https://umi.dm.unibo.it/gruppi-umi-2/gruppo-umi-aimlmat/>] - we are glad to announce the *4th workshop of the UMI Group *“Mathematics for Artificial Intelligence and Machine Learning <https://sites.google.com/uniroma1.it/umiworkshop2025/math4aiml-umi-workshop> ”, which will take place on *January 21-23, 2026*, at the *Mathematics Department of Sapienza University of Rome*. The invited speakers are Paola Antonietti (Politecnico di Milano) Annalisa Barla ( Università di Genova) Vincenzo Bonifaci (Università Roma Tre) Massimo Fornasier (Technische Universität München) Domenico Marinucci (Università degli Studi di Roma Tor Vergata) Pierpaolo Vivo (King's College London) The workshop focuses on the interplay between mathematics, artificial intelligence, and machine learning. Its aim is to encourage mathematical research in these areas, promote the dissemination of results, and facilitate interaction with other disciplines. The event will conclude the thematic period on Data Science within the *Eccellenza* Scientific Program of the Mathematics Department at Sapienza University of Rome. Further information about the program can be found on this page <https://sites.google.com/uniroma1.it/excellence-department/home>. In addition to invited talks, the program will feature contributed presentations and a poster session. To register, please visit the workshop website <https://sites.google.com/uniroma1.it/umiworkshop2025/math4aiml-umi-workshop>. Participation is free, but registration is required. Kind regards, The Scientific Committee Adriano Barra Alessandra De Rossi Ernesto De Vito Stefano Gualandi Giampaolo Leonardi Marco Maggesi Benedetta Morini Sandra Pieraccini Paolo Zunino The Organizing Committee Elena Agliari Adriano Barra Alberto Fachechi Giuseppe Visconti

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Seminar at Sapienza University - N. Leonenko - 22/9/2025
by Luisa Beghin 15 Sep '25

15 Sep '25

Dear all, we are pleased to announce the following seminar at the Department of Statistical Sciences, Sapienza University. ——— *Speaker*: Nikolai Leonenko, Cardiff University (UK) *Title*: *Limit theorems for supCAR random fields* *When*: Monday, September 22, 10:00 *Where*: p.le A. Moro, 5, building CU002, room 24 (fourth floor) *Online: *at the following link <https://meet.google.com/fhc-xvdh-cgq> *Abstract*: The paper introduces a new class of random fields, supCAR fields, which are constructed as superpositions of continuous autoregressive random fields. These supCAR fields possess infinitely divisible marginal distributions. Their second-order properties are characterised by a novel family of covariance functions which can exhibit short- and long-range spatial dependencies. First, the existence of such fields is examined. Then, functional limit theorems for supCAR fields are derived under general assumptions. Four limiting scenarios that depend on the marginals of the underlying autoregressive fields and the specifications of the superposition are identified. Examples of specific supCAR fields, for which the assumptions and results are provided in simple, explicit forms, are presented. The obtained limit theorems can be employed for the statistical inference of supCAR fields. These are joint results with Illia Donhauzer <https://arxiv.org/search/math?searchtype=author&query=Donhauzer,+I> (Kyushu University, Japan) and Andriy Olenko <https://arxiv.org/search/math?searchtype=author&query=Olenko,+A> (La Trobe University, Melbourne, Australia) ——— Best regards, Luisa Beghin *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910709 https://sites.google.com/site/luisabeghin/ ***************************************************************** -- *Fai crescere le giovani ricercatrici e i giovani ricercatori*** *con il 5 per mille alla Sapienza* Scrivi il codice fiscale dell'Università *80209930587 **Cinque per mille <https://www.uniroma1.it/it/node/23149>*

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JOB: Lectureship in Statistics at KCL
by Fabrizio Leisen 15 Sep '25

15 Sep '25

Dear All, Applications are invited for a Lectureship in Statistics in the Department of Mathematics at King’s College London. You can find the details at : https://www.kcl.ac.uk/jobs/120728-lecturer-in-statistics *Deadline: 30/09/2025* Candidates are expected to have a PhD in Statistics, or a closely related area, and research expertise in some area of statistics. They should demonstrate the potential to lead research of high originality, innovation and depth, with the capacity to make a significant long-term impact in their field. A proven ability or clear potential to attract research funding is also desirable. The successful candidate will be expected to lead a self-directed research programme, which will enhance the Department’s research activity, and to take part in teaching and assessment across its undergraduate and postgraduate programmes. They will be expected to promote the reputation of the Statistics research group through participation in scientific meetings, scholarly engagement, and other externally facing activities. They will also play an active role in the institutional and intellectual development of the Department and undertake administrative responsibilities at the Departmental, Faculty, and University levels, as required. This is a full-time position (35 hours per week), and an indefinite contract will be offered. Best Wishes, Fabrizio -- Fabrizio Leisen Professor of Statistics Head of the Statistics Group King’s College London Department of Mathematics Strand | WC2R 2LS | London

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De Finetti seminar: Huyên Pham and Stéphane Crépey, Sept. 24, 2025
by Alessandro Doldi 12 Sep '25

12 Sep '25

On behalf of the Scientific Committee of the "B. de Finetti Risk Seminars, Milano Lectures on the Mathematical Theory of Economics and Finance”, we are glad to invite you to participate at the following Lectures on September 24, 2025: Huyên Pham, Ecole Polytechnique (h. 16:00) and Stéphane Crépey, Université Paris Cité (h. 17:00) LOCATION: The seminars will be held on September 24, 2025 starting at 16:00, Aula C20 (Via Colombo 62), Università degli Studi di Milano, Milano. Scientific Committee Prof. Simone Cerreia-Voglio (Univ. Bocconi) Prof. Marco Frittelli (Univ. degli Studi di Milano) Prof. Fabio Maccheroni (Univ. Bocconi) Prof. Marco Maggis (Univ. degli Studi di Milano) Prof. Massimo Marinacci (Univ. Bocconi) Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca) *** Il tuo 5x1000 al diritto allo studio Università degli Studi di Milano CF 80012650158

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Stefano Favaro in Venice, Seminar at Ca' Foscari University, September 23
by Roberto CASARIN 11 Sep '25

11 Sep '25

Dear all, I'm pleased to invite you to the Seminar in Statistics, which will be held on Tuesday, September 23 at 12:00 in Meeting Room 1 by: Stefano Favaro (University of Torino - Collegio Carlo Alberto), Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem (Joint work with Sandra Fortini, Bocconi University) Abstract: The Poisson compound decision problem is a long-standing problem in statistics, where empirical Bayes methodologies are commonly used to estimate Poisson's means in static or batch domains. In this paper, we study the Poisson compound decision problem in a streaming or online domain. Adopting a quasi-Bayesian approach, often referred to as Newton’s algorithm, we obtain a sequential Poisson's mean estimate that is easy to evaluate, computationally efficient, and maintain a constant per-observation computational cost as data accumulate. Asymptotic frequentist guarantees of this estimate are established, showing consistency and asymptotic optimality, where the latter is understood as vanishing excess Bayes risk or regret. We demonstrate the effectiveness of our methodology through empirical analysis on synthetic and real data, with comparisons to existing parametric and nonparametric approaches. More information available at https://www.unive.it/data/agenda/3/105362 We are looking forward to welcoming you to Venice. -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera https://www.unive.it/isba2024

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