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14th International Conference on Statistical Seismology (StatSei14): October 13–16, 2026
by ELISA VARINI 20 Apr '26

20 Apr '26

Dear all, We are pleased to announce that the 14th International Conference on Statistical Seismology (StatSei14) will take place October 13-16, 2026 at the Universidad Andrés Bello (UNAB), Casona de Las Condes Campus, Santiago, Chile. The abstract submission period is now open, and we are ready to warmly invite researchers to submit their contributions. More information is available at: www.statsei14.cl<http://www.statsei14.cl/> Important dates * March 1 – April 30 Abstract submission period * June 1 – June 14 Notification of acceptance of contributions * June 1 – July 31 Early registration period * August 1 – September 30 Late registration period * October 13 – October 16 StatSei14 Conference We would appreciate you sharing this announcement with interested colleagues and networks. Best regards, Orietta Nicolis Professor, Andres Bello University Member of the StatSei14 Local Organizing Committee

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Promemoria workshop UMI PRISMA
by Alessandra MEOLI 20 Apr '26

20 Apr '26

Cari e care colleghi/e, desideriamo segnalarvi nuovamente il workshop “Problematiche ed iniziative sull’insegnamento della probabilità e della statistica nelle scuole secondarie”, promosso dalla Commissione Insegnamento del Gruppo UMI PRISMA. L’evento si terrà il 23 e 24 aprile 2026, in modalità mista, presso l’Università di Salerno (Campus di Fisciano) e online. La partecipazione è libera, ma è necessaria l’iscrizione. Il sito dedicato all'evento è disponibile al seguente link: https://sites.google.com/view/prisma-did-probstat/home-page Vi aspettiamo numerosi! Un cordiale saluto, Il Comitato Organizzatore: Luigi Amedeo Bianchi Paolo Dai Pra Patrizia Di Gironimo Michele Gianfelice Barbara Martinucci Alessandra Meoli Daniela Morale Franco Pellerey Serena Spina Barbara Trivellato

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Next Webinar PRISMA - May 4, 2026 - Speakers: D. Addona & F. Masiero
by Maurizia Rossi 20 Apr '26

20 Apr '26

Webinar of the team UMI - PRISMA (http://www.umi-prisma.polito.it/) PRISMA webinars follow a colloquium-style format designed to foster exchange and discussion within the Italian probability and statistics community. Each session features two speakers, who give two closely connected 30-minute talks providing the community with a perspective on their research area. Over the past few years, recordings of the seminars have been made available on the UMI YouTube channel: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb The next event is scheduled for Monday, May 4, 2026. The speakers will be *Davide Addona* (Università di Parma) and *Federica Masiero* (Università di Milano-Bicocca), who will speak on: *Pathwise uniqueness, strong existence and regularization by noise effect* according to the following schedule 16:00 1st seminar 16:30 Break and discussions 16:45 2nd seminar 17:15 Conclusions and discussions The *abstract* can be found in the attached pdf. The seminars will be streamed on *Webex* at the following link: https://unimib.webex.com/unimib-it/j.php?MTID=m423bf01b9ce7c78a1f112b95be8d… Meeting code: 2743 448 9103 Meeting password: 3ruJdwDV3Z7 We look forward to seeing many of you there! Luciano Campi, Maurizia Rossi -- Maurizia Rossi Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca https://mauriziarossi.wordpress.com

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9 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline May 20, 2026 - 13:00 (CEST)
by Susi Ceron 17 Apr '26

17 Apr '26

Nine PhD scholarships funded by the University of Padova and Ministry of University and Research are available at University of Padova for candidates interested in the area of*Statistical Sciences (start of activities: November 1st, 2026)*. *Eligibility* The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2026). Admission is decided on the basis of qualifications and an interview. *Grant awarded* The annual grant will be of euros *18,643.00* (gross amount). This corresponds to the basic scholarship of €16,243.00 (gross amount), plus €2,400 funded from the Department’s and the University’s budgets. This results in a net monthly amount of €1,372.18, compared with the basic amount of €1,195.53. The grant will be awarded for a period of three years and will be conditional upon the achievement of satisfactory results, which will be assessed on an annual basis. *How to apply* The call is published (*deadline May 20, 2026 - 1 pm CEST*) at the page http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie English version at the page http://www.unipd.it/en/node/1053 Please note that the curriculum has to be written by filling the template *CV_XLII* available from the Course web page http://www.stat.unipd.it/ricerca/ammissione and uploading the filled template in the online procedure. *Applications are only accepted online using the link indicated in the call.* For more information about the Statistical Sciences PhD program see https://www.stat.unipd.it/ricerca/dottorato-di-ricerca For more information about admission see http://www.stat.unipd.it/ricerca/ammissione or contact phd(a)stat.unipd.it Kindest regards, PhD Secretariat on behalf of prof. Nicola Sartori Coordinator of the PhD Course in Statistics University of Padova - Italy -- Dott.ssa Susi Ceron Dipartimento di Scienze Statistiche Universita' degli Studi di Padova Via Cesare Battisti 241 - 35121 Padova tel. +39 049 8274167 fax +39 049 8271524 www.stat.unipd.it

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Seminars in Statistics at Collegio Carlo Alberto - Randolf ALTMEYER (IMPERIAL COLLEGE LONDON)
by Matteo Giordano 17 Apr '26

17 Apr '26

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 24/04/2026, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Randolf ALTMEYER (IMPERIAL COLLEGE LONDON) Title: PARAMETER ESTIMATION FOR MATÉRN RANDOM FIELDS FROM LOCAL MEASUREMENTS Abstract: Gaussian random fields with Matérn covariance structure are fundamental models in spatial statistics and widely used in applications. Given discrete observations on a regular grid, we study the parametric estimation of key parameters governing variance, range, and smoothness. Our approach is based on the representation of the random field as the solution to an elliptic stochastic partial differential equation (SPDE), which provides a structural framework for inference. A key insight from this representation is that the model parameters exhibit distinct local scaling behavior, reflecting the local structure of the underlying differential operator. Building on this idea, we construct spatially localized linear combinations of the data, referred to as local measurements, which approximate localized features of the field. By analyzing how these quantities scale across resolutions, we develop a novel class of estimators based on localized quadratic functionals. This can be viewed as a multi-dimensional extension of quadratic variation techniques from time series analysis. By carefully designing test functions with prescribed moment cancellation properties, we obtain explicit estimators for the variance, range, and smoothness parameters. We establish asymptotic normality under infill asymptotics and derive explicit expressions for the estimator variances using Gaussian moment identities. The resulting methods are computationally efficient, with linear complexity in the number of observations. Numerical experiments demonstrate that the proposed estimators are competitive with existing approaches while offering substantial computational advantages. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare un’email 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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OWABI Seminar - Oksana Chkrebtii - April 30 - 1pm UK time
by Massimiliano Tamborrino 17 Apr '26

17 Apr '26

Dear all, please save the date for the next OWABI seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi>. We are delighted to announce that our next speaker is Oksana Chkrebtii<https://u.osu.edu/oksanachkrebtii/> (Ohio State University) who will talk about "Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems" on Thursday the 30th April at 1pm UK time (note the different time!) with an abstract reported below. The talk will be streamed at 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 following link Join: https://teams.microsoft.com/meet/374263351331567?p=tEOIPwLR7ejGFX1vSm Meeting ID: 374 263 351 331 567 Passcode: B8Em6Cg9 Speaker: Oksana A. Chkrebtii<https://u.osu.edu/oksanachkrebtii/> (Ohio State University) Title: Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems Abstract: Generative models and those with computationally intractable likelihoods are widely used to describe complex systems in the natural sciences, social sciences, and engineering. Fitting these models to data requires likelihood-free inference methods that explore the parameter space without explicit likelihood evaluations, relying instead on sequential simulation, which comes at the cost of computational efficiency and extensive tuning. We develop an alternative framework called kernel-adaptive synthetic posterior estimation (KASPE) that uses deep learning to directly reconstruct the mapping between the observed data and a finite-dimensional parametric representation of the posterior distribution, trained on a large number of simulated datasets. We provide theoretical justification for KASPE and a formal connection to the likelihood-based approach of expectation propagation. Simulation experiments demonstrate KASPE’s flexibility and performance relative to existing likelihood-free methods including approximate Bayesian computation in challenging inferential settings involving posteriors with heavy tails, multiple local modes, and over the parameters of a nonlinear dynamical system. Keywords: Deep learning; likelihood-free inference; generative models. Reference: R. Zhang, O.A. Chkrebtii, D. Xiu. Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems. Preprint at ArXiv:2508.00167 https://arxiv.org/pdf/2508.00167 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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Seminario Padova - Bouchot
by alekos.cecchin＠unipd.it 17 Apr '26

17 Apr '26

Buongiorno a tutte/i, Vorremmo segnalarvi che Venerdì prossimo (6 Marzo) alle 14:30 in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Nicolas Bouchot (Universität Innsbruck) <https://www.uibk.ac.at/mathematik/personal/bouchot-nicolas/bouchotnicolas.h tml> website Title: Confined walk, interlacements and covering time Date: March 6, 2026, at 14:30, 2AB40 Abstract: Random interlacements are understood to naturally arise as a full-volume limit of random walks spending a long time inside a domain. However, this understanding is somewhat indirect, as it is often through ways of large deviations principles. In this talk, I will present a straightforward model: the random walk confined inside a domain. We obtain a precise coupling between this confined walk and some interlacements tilted by the first Laplace eigenvector on the domain. As an application, I will present asymptotics for the covering time of subdomains by the confined walk. Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Bando RTT STAT-04/A Università di Genova - Dipartimento di Economia
by Matteo Brachetta 17 Apr '26

17 Apr '26

Care Colleghe, Cari Colleghi, è aperta una procedura di selezione per l’assunzione di 1 Ricercatore a tempo determinato in tenure track (RTT) presso il Dipartimento di Economia dell'Università di Genova. Settore scientifico disciplinare (SSD): STAT-04/A - Metodi matematici dell'economia e delle scienze attuariali e finanziarie Scadenza per la presentazione delle domande: 7 Maggio 2026, ore 12:00. Il bando è disponibile a questo link: https://concorsi.unige.it/home/procedure/5373 Cordiali saluti, %---------- ENGLISH VERSION ----------% Dear Colleagues, We are pleased to announce a call for applications for one tenure-track Assistant Professor (RTT) position at the Department of Economics, University of Genoa. Research Field (SSD): STAT-04/A – Mathematical methods for economics, actuarial, and financial sciences. Application Deadline: May 7, 2026, at 12:00 PM (CET). The full announcement is available at the following link: https://concorsi.unige.it/home/procedure/5373 Best regards, Matteo Brachetta Associate Professor Department of Economics - University of Genoa

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Invitation to Join the IAVCEI Commission on Statistics in Volcanology (COSIV)
by Andrea Bevilacqua 16 Apr '26

16 Apr '26

Dear Colleagues, The IAVCEI Commission on Statistics in Volcanology (COSIV) is actively looking to welcome new members, especially Early Career Researchers (ECRs), to join our international group. *Who We Are & What We Do* Established in 2007, our commission focuses on fostering the statistical analysis of volcanological data. We pride ourselves on our highly multidisciplinary nature, constantly working to bridge the gap between Earth Sciences, Mathematics, Statistics, and Engineering. The COSIV was recently presented in the IAVCEI Newsletter n.1 2026: https://www.iavceivolcano.org/newsletter-1-2026/. *Upcoming Initiatives* By joining COSIV, you will have the opportunity to engage with our network and participate in our upcoming events, which currently include: - A proposed collaborative scientific session at the upcoming IUGG 2027 in Incheon, South Korea, titled "Probability Analysis of Volcanic Hazards and Implications for Risk Assessment". - A newly planned COSIV scientific workshop currently in the early stages of organization, which is slated to be based in Italy. *How to Join* We welcome all interested IAVCEI members to get involved. To become an active member, please fill out our quick subscription form: https://forms.gle/zw3BxyJSuV8w5NPS7. For more information about the COSIV, please visit our website: https://cosiv.iavceivolcano.org/. We look forward to bringing fresh perspectives into the commission! Best regards, The COSIV Leadership Board Andrea Bevilacqua (INGV, Italy) Vanesa Burgos (IGN, Spain) Susanna Jenkins (EOS, Singapore) Stuart Mead (GNS, New Zealand) Alessandro Tadini (INGV, Italy)

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A Spring Day in Probability and Statistical Physics - Florence, 8 May 2026
by Elia Bisi 16 Apr '26

16 Apr '26

Dear colleagues, We are happy to announce the 17th event in the series “Days in Probability and Statistical Physics”: A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS 8 May 2026 University of Florence, Department of Mathematics and Computer Science, Viale Morgagni 67/a, Florence Speakers: Perla Sousi (University of Cambridge) will speak on: The cutoff phenomenon for random walks Laurent Miclo (Toulouse School of Economics) will speak on: On set-valued intertwining duality for Markov processes Each speaker will give a 45’ introductory lecture tailored for non-experts, followed by a 45’ more advanced seminar talk. Registration is free but mandatory for organization purposes. Please fill out this form by 3 May at the latest. Please feel free to share the announcement with those who may be interested, particularly young researchers. We look forward to seeing many of you. The organisers Luisa Andreis, Luca Avena, Gianmarco Bet, and Elia Bisi *************** More information, including abstracts, can be found at this link. The poster of the event can be viewed here. PROGRAM 10:30-11:00 Welcome coffee 11:00-11:45 Introductory lecture: Perla Sousi 11:45-12:15 Break 12:15-13:00 Seminar talk: Perla Sousi 13:00-14:30 Lunch 14:30-15:15 Introductory lecture: Laurent Miclo 15:15-15:45 Break 15:45-16:30 Seminar talk: Laurent Miclo ————————— Elia Bisi Assistant Professor (RTT) University of Florence Department of Mathematics & Computer Science Personal homepage Florence Probability group

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