- Random - Mailing list — Dipartimento di Matematica, UniPI

ESOBE 2026 - deadline extension
by Matteo Iacopini 27 Apr '26

27 Apr '26

Dear all, This is to announce an extension to the deadline for submitting a paper (or extended abstract) for a contributed oral or poster session to the upcoming ESOBE conference (https://esobe2026.github.io/) which will take place on 27-28 August 2026 at LUISS University in Rome. The extended deadline is Wednesday, 6th May. I also remind you that: * PhD students who are members of the EFaB section within ISBA may apply for a travel support grant. * PhD students and researchers who received their PhD after August 2021 may apply to present their work in the dedicated oral “Young Researchers Session”. For further details about the call for papers, please see the conference website (https://esobe2026.github.io/) or write an email to esobe2026(a)gmail.com<mailto:esobe2026@gmail.com> Looking forward to meeting you in Rome! Kind regards, Matteo Iacopini --------------------------------------------------------- Matteo Iacopini Assistant professor (tenure) in Statistics LUISS "Guido Carli" University, Italy web: https://matteoiacopini.github.io<https://matteoiacopini.github.io/> 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

1 0

6-year postdoc (university assistant) position in Probability at TU Wien
by Prof. Fabio Toninelli 24 Apr '26

24 Apr '26

Dear colleagues, the probability group (https://www.tuwien.at/en/mg/proba) at TU Wien advertises a 6-year postdoc (university assistant) position. The link to the announcement is here: https://jobs.tuwien.ac.at/Job/266455 <https://jobs.tuwien.ac.at/Job/266455> Deadline for application: *May 21st, 2026* Starting date: *October 2026* (with some flexibility). Best wishes Fabio Toninelli and Marcin Lis -- Prof. Fabio Toninelli Technical University of Vienna Institut für Stochastik und Wirtschaftsmathematik Wiedner Hauptstrasse 8-10, 1040 Wien, Austria https://sites.google.com/view/fabio-toninelli/home Office: 6th floor, green area. tel: +43-1-58801-10570

1 0

Registrations open for BioInferece2026
by Massimiliano Tamborrino 22 Apr '26

22 Apr '26

Dear all, Registrations are now open for the 5th BioInference conference<https://bioinference.github.io/2026/2026-main-page/>, taking place at the University of St Andrews between 10 and 12 June 2026. Launched in 2022, BioInference aims to bring together researchers from across statistics and mathematical modelling who work with biological systems, and from all career stages, to foster discussions between the two communities and to prompt collaborations. We are excited to welcome you to a three-day conference featuring 40 invited and contributed talks (single-track, no parallel session!). In addition to the diverse programme of talks, the conference includes: * a poster session on Wednesday afternoon, * a session with industry and non-academic partners from Vici.bio, Cancer Research Horizon, Firefinch and Fios Genomics on Thursday afternoon, * optional evening social activities to explore the local culture of St Andrews, its rich golf history, and the Scottish traditions of whisky and gin tasting on Wednesday evening, * a conference dinner on Thursday evening (£30) You can register at https://www.eventsforce.net/standrews/336/home by the 17th May 2026. Tickets are limited and will be allocated on a first-come, first-served basis. The registration fee is set as £70 and it covers lunches and coffee breaks during the three days of the conference. Some of the optional social activities on Wednesday afternoon involve additional fees. You can find out more and indicate your preferences on the registration page. Registration for the conference dinner is optional and it costs £30.00. Accommodation and Travel We encourage you to book accommodation as soon as possible. You can find information about accommodation at a discounted price and travel here<https://www.eventsforce.net/standrews/frontend/reg/tOtherPage.csp?pageID=19…>. Please don't hesitate to get in touch if you have any information. We are looking forward to seeing you at BioInference 2026. Best, Massi on the behalf of the BioInference2026 Organisers ------------------------------------------------------------------------ Dr. Massimiliano Tamborrino SFHEA Reader (Associate Professor) Department of Statistics WIHEA Fellow and Internationalisation Learning Circle Co-Lead University of Warwick https://warwick.ac.uk/tamborrino

1 0

Seminario Maria Infusino - Politecnico di Milano - 4 Maggio 2026
by Luca Scarpa 21 Apr '26

21 Apr '26

Si segnala il seguente seminario a tutti gli interessati. Lunedì 4 Maggio 2026, ore 11:00. Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Maria Infusino, Università di Cagliari. Title: A few moments with the problem of moments: from finite to infinite dimensions. Abstract: The problem of moments, also known as moment problem, is the elegant question of establishing whether there exists a probability measure having some prescribed moments. A fascinating feature of this problem is its great modeling power, which has been attracting scientists for more than a century in the most different scientific areas. This talk aims to give an introduction to the moment problem with a special focus on the connection between finite and infinite dimensional moment problem. In fact, the theory of moment problems for probabilities supported in an infinite dimensional space is not as well developed as in the finite dimensional case and is still not up to the demand of the applications. We present a general approach to the infinite dimensional moment problem based on projective limit techniques which allow us to exploit the results in the classical finite dimensional moment theory to the infinite dimensional case. We prove that under the so-called Prokhorov condition, the infinite dimensional moment problem on a unital commutative algebra A is solvable if and only if for any finitely generated subalgebra S of A the corresponding finite dimensional moment problem is solvable. Among the several applications, we point out the case when A is the tensor algebra of an infinite dimensional vector space and discuss some consequences for moment problems for random measures. This is a joint work with Salma Kuhlmann, Tobias Kuna and Patrick Michalski. Link Zoom: https://polimi-it.zoom.us/j/92717904160?pwd=pYnlbEU3lgY1fsNsUR3eILct80N9wT.1 Link Seminario Polimi: https://www.mate.polimi.it/eventi/?id=2719&sezione_di_ricerca=probstat&stri… ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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/>

1 0

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

1 0