- Random - Mailing list — Dipartimento di Matematica, UniPI

I: Next OWPS
by Luisa Andreis 02 Apr '25

02 Apr '25

Dear colleagues, this is a gentle reminder of today One World Probability Seminar, details below. Please note the unsual time: the seminar will be held at 17:00 (italian time). You can find the calendar for the upcoming seminars at this link<https://www.owprobability.org/one-world-probability-seminar/future-seminars>. We hope to see many of you online! Luisa and Roger ________________________________ Da: One World Probability <ow.probability(a)gmail.com> Inviato: mercoledì 2 aprile 2025 14:41 A: Luisa Andreis <luisa.andreis(a)polimi.it> Oggetto: Fwd: Next OWPS The next OWPS will be on Wednesday, April 2, from 15:00 to 17:00 UTC time. Note that the UTC time is shifted by one hour (to add to the confusion of those of you in countries that have changed the clock recently). Title, abstract and the zoom link are below the signature and can be found on the website https://www.owprobability.org/one-world-probability-seminar<https://protect-eu.mimecast.com/s/-zGkCWqjZFlpkVlsnEyR_?domain=eur01.safeli…>. ----------------------- Spherical integrals in probability and beyond Colin McSwiggen (Academia Sinica) This mostly expository talk will introduce a number of types of integrals over compact Lie groups that show up constantly in probability and mathematical physics. The analysis of these so-called spherical integrals, in particular their high-dimensional ("large-N") asymptotics, has played a central role in random matrix theory and related subjects over the last 25 years. I'll outline the history of these special functions and describe a number of applications in which they arise, including some original research results with various coauthors. Finally, as a segue to the second lecture by Jon Novak, I'll discuss approaches to large-N analysis. Hypergeometric functions of huge (random) matrices Jonathan Novak (UC San Diego) Hypergeometric functions of matrix arguments are multivariate generalizations of classical hypergeometric functions, and approximating hypergeometric functions of huge matrices is one of the most exciting open problems in high-dimensional analysis. Over the course of the past decade, it has gradually become clear that hypergeometric functions of matrices are discrete analogues of random matrix partition functions. This analogy is clearest for complex matrices, where hypergeometric functions are discrete counterparts of the partition function of the Hermitian one-matrix model with an arbitrary potential, with Schur measure taking on the role of the Gaussian background. Once this is understood, a striking conjecture explicitly describing the asymptotics of all hypergeometric functions emerges. I will explain this conjecture, and outline recent progress towards its solution. https://polimi-it.zoom.us/j/92945513591?pwd=zjtRwpHoO9kRyQuPPj4o186jXrvg1v.1 Meeting ID: 92945513591 Passcode: 131676

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Fwd: Open PhD position at Eindhoven University of Technology, the Netherlands
by Gianmarco Bet 02 Apr '25

02 Apr '25

Ricevo e inoltro volentieri. > Dear all, > > We invite applications for a fully-funded PhD position on "Resilience of Dynamic Flow Networks" within applied probability at Eindhoven University of Technology, the Netherlands. > > More information on this position and the application procedure can be found here:https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-ta-resilience-of-dynamic-flow-networks/ <https://www.google.com/url?q=https://www.tue.nl/en/working-at-tue/vacancy-o…>. > > Deadline: May 4, 2025. > > Please feel free to share this opportunity with potential candidates in your network! > > Best regards, > Fiona Sloothaak

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Call for expressions of interest: PhD positions in Verona
by Alessandro Gnoatto 02 Apr '25

02 Apr '25

Call for expressions of interest: PhD positions in Verona We are looking for PhD students for the track in "Mathematics and Data Analytics for Finance" of our PhD program in "Economics and Finance". This is a 4-year PhD program. The objective of the "Mathematics and Data Analytics for Finance" track is to prepare students for academic/professional careers in Financial Mathematics and Data Analytics according to the highest international standards. We welcome applications from students with a strong background in mathematics, physics, statistics, quantitative finance or other highly quantitative disciplines. During the first year, students will be offered a research-oriented training program. Core compulsory courses are: 1) Financial Time Series 2) Mathematical Statistics 3) Financial Mathematics 4) Continuous Time Econometrics 5) Stochastic Optimization and Control 6) Stochastic Processes in Finance Courses are coordinated by Giuseppe Buccheri, Alessandro Gnoatto, Cecilia Mancini, Athena Picarelli, Francesca Rossi, Catia Scricciolo, Sara Svaluto Ferro under the supervision of Athena Picarelli (director of the PhD program). We will also offer a wide basket of elective courses offered by leading international experts. The attendance of Summer and Winter schools and an international research stay of at least 6 months are strongly encouraged. Financial support is provided. To express your interest, please send your CV to athena [dot] picarelli [at] univr [dot] it -- Prof. Alessandro Gnoatto Presidente del CdLM "Banca e Finanza" Dipartimento di Scienze Economiche Università degli Studi di Verona Via Cantarane 24 37129, Verona, Italy Room 1.05 Tel: +39 045 802 8537<tel:+390458028537> Homepage: www.alessandrognoatto.com<http://www.alessandrognoatto.com/> E-mail: alessandro.gnoatto(a)univr.it<mailto:alessandro.gnoatto@univr.it> -------------------------------------------------- View my research on my SSRN Author page: http://ssrn.com/author=1615989 --------------------------------------------------

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Call for Interest PhD in Economics and Finance @Tor Vergata
by Davide Pirino 02 Apr '25

02 Apr '25

*Ph.D. program in ECONOMICS and FINANCE @ Tor Vergata* *Call For Interest 2025* The Department of Economics and Finance of the University of Rome Tor Vergata is advertising a *Call for Interest* for PhD positions for the next academic year with a full grant, which amounts to €16,243 per year (about €1,200 per month net of taxes, increased by 50% during the periods – up to one year - spent abroad for study and research). A prerequisite for participating in the program is a M.Sc. university degree in Economics or equivalent. All admissions are conditional on obtaining the MSc degree before the beginning of the program. The selection is based on the evaluation of the candidate’s profile from the documentation provided, and a personal interview. Interested candidates are kindly invited to express their interest by sending at admin(a)phdef.uniroma2.it the following documents by *April 10, 2025*: • Research statement (1-2 pages max) • Curriculum Vitae • Two reference letters (instruct your letter-writers to send letters at admin(a)phdef.uniroma2.it) • Transcript of M.Sc. courses and grades • English language proficiency certificate (Such as IELTS/TOEFL/Cambridge C2 Proficiency/Cambridge C1 Advanced. No English language certificate is required from applicants who are English native speakers, and/or have been awarded a degree from a university program entirely taught in English and have written a thesis in English in such a program.) • M.Sc. thesis (optional) • Publications (if any) • Motivational Letter (elective) • GDPR acknowledge (rif. GDPR relevant rules) Promising applicants will be invited to an interview. Due to the limited number of available positions, we strongly encourage early applications. Selected applicants will be invited to submit a formal application for the admission procedure in accordance with the official Call by Tor Vergata University of Rome, to be issued in Spring 2025. Detailed information about scholarships and the formal admission procedure can be found at https://economia.uniroma2.it/phd/ef/calls. Please do not hesitate to contact us for any questions at info(a)phdef.uniroma2.it Kind Regards Davide Pirino

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Call Talent@Unipd (deadline April 30, 2025) - Scouting candidates for ERC Starting Grants 2026 (fwd)
by Tiziano Vargiolu 02 Apr '25

02 Apr '25

Call Talent@Unipd - ERC Scouting at the University of Padua Dear Colleagues, The University of Padua (Unipd) is looking for outstanding researchers of any age and nationality to leverage successful applications for the 2026 ERC Starting Grant call, funded by the European Commission within the Horizon Europe Framework Programme. ERC Starting Grants are open to candidates who have successfully defended their first PhD thesis within a minimum of 2 and a maximum of 7 years prior to 1st January 2026, have an outstanding scientific track-record, as well as an excellent research proposal. Through the Talent@Unipd Starting Grants scouting initiative, Unipd aims at identifying promising candidates for the forthcoming ERC Starting Grant 2026 call, whose possible deadline is in October/November 2025 Selected Talent candidates will be assisted at each stage of their proposal writing by highly qualified research support staff at Unipd. Researchers wishing to participate should fill in the application form available here https://forms.gle/KU6J9sJYD6pNxSL68 and submit it by 30 April 2025, at 1 p.m. (Italian time zone), attaching the following documents · CV and track-record (use of a dedicated template is mandatory) · Proposal in English of max. 4.000 characters (spaces included), describing the project idea · Letter of commitment, duly signed, indicating the University of Padua as host institution for the future ERC application. Templates are available at https://www.unipd.it/en/call-starting-grant-2026. Thank you for your cooperation in promoting or participating in our Talent@Unipd - Starting Grants 2026 scouting programme. Should you have questions or need any further clarification, please do not hesitate to contact the University of Padua International Research Office - individual.grants(a)unipd.it. Useful links: - pagina Talent ITA | https://www.unipd.it/call-starting-grant-2026 - page Talent ENG | https://www.unipd.it/en/call-starting-grant-2026 - why choosing Padua as Host Institution | https://www.unipd.it/en/unipd-host-institution Best regards, -- Ufficio Ricerca Internazionale | International Research Office Settore finanziamenti individuali | Individual Grants Unit Università degli Studi di Padova | University of Padova via Martiri della Libertà, 8 - 35137 Padova, Italia | Italy http://www.unipd.it/ricercainternazionale https://www.unipd.it/en/supportingresearch FB: International Research Office Twitter: Ricerca Int. UniPd@ServizioRicerc LinkedIN: Int. Research Office Unipd Moodle: International Research Office Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Gruppo di studio: Dottorato in Probabilità e Statistica e Industria
by Enrico Scalas 01 Apr '25

01 Apr '25

Gruppo di studio: Dottorato in Probabilità e Statistica e Industria (“PhD Students in Probability and Statistics meet Companies”) Il gruppo UMI-PRISMA, il Dipartimento di Scienze Matematiche "G.L. Lagrange” del Politecnico di Torino e il Dipartimento di Matematica “G. Peano” dell’Università di Torino organizzano a Torino una tre giorni dal 16 al 18 settembre 2025 usando il formato ridotto dello "Study Group Mathematics with Industry": il mattino del 16 settembre, le aziende partecipanti presentano i problemi di loro interesse. Successivamente si formano gruppi di dottorandi supportati da tutor accademici, che lavorano su tali problemi e le soluzioni proposte sono discusse nel pomeriggio del 18 settembre. Al momento hanno già accettato di partecipare le seguenti società: Novartis (https://www.novartis.com/it-it/) ToolsGroup (https://www.toolsgroup.com/) La partecipazione al gruppo di studio è gratuita per dottorandi e dottorande che stanno svolgendo una tesi di probabilità e/o statistica matematica. Inoltre sarà disponibile un piccolo supporto finanziario su richiesta. Il supporto sarà erogato con un criterio di priorità per ordine di arrivo delle richieste. Infine, sarà rilasciato un certificato di partecipazione. In questa fase chiediamo una dichiarazione di interesse a partecipare. La si può inviare a: laura.sacerdote(a)unito.it prima possibile e comunque entro il 30 maggio 2025. Il comitato organizzatore: Gianluca Guadagni, Franco Pellerey, Laura Lea Sacerdote, Enrico Scalas, Serena Spina, Barbara Trivellato e Cristina Zucca

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Seminar Alexandra Holzinger - Luiss
by Marta Leocata 01 Apr '25

01 Apr '25

Dear all, The Department of Economics and Finance at Luiss University in Rome (https://economiaefinanza.luiss.it <https://economiaefinanza.luiss.it/>) is pleased to announce the following seminar: Speaker: Alexandra Holzinger, Mathematical Institute, University of Oxford Title: Fluctuations around the mean-field limit for attractive Riesz interaction kernels in the moderate regime When: April 3, 14:30 Where: Viale Romania, 32 00197 Rome Meeting room: 405 Abstract: In this talk I will give a short introduction to moderately interacting particle systems and the general notion of fluctuations around the mean-field limit. We will see how a central limit theorem can be shown for moderately interacting particles on the whole space for certain types of interaction potentials. The interaction potential approximates singular attractive potentials of sub-Coulomb type and we can show that the fluctuations become asymptotically Gaussians. The methodology is inspired by the classical work of Oelschläger in the 1980s on fluctuations for the porous-medium equation. To allow for attractive potentials we use a new approach of quantitative mean-field convergence in probability in order to include aggregation effects. Should you be interested, please kindly send me an e-mail. Best wishes, Marta Leocata

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Announcement of the summer school "Mathematical methods for high-dimensional data", 8-12 September 2025
by Alberto Fachechi 01 Apr '25

01 Apr '25

Dear Colleagues, We are glad to announce the summer school Mathematical methods for high-dimensional data <https://sites.google.com/view/math-high-dimensional-data/home>, which will take place on September 8-12, 2025, at the Mathematics Department of Sapienza University of Rome. Lecturers of the school are Jean Barbier (International Centre for Theoretical Physics) Marylou Gabrié (École Normale Supérieure) Alessandro Ingrosso (Radboud University) Silvia Villa (University of Genova) The school will also include poster sessions for PhD students and early postdocs. To register, please complete the form available on the website (here the link <https://sites.google.com/view/math-high-dimensional-data/registration?authu…>). Participation is free, but registration is mandatory. The school will launch the Eccellenza Scientific Program dedicated to Data Science, running through January 2026. This program features workshops, doctoral courses, and seminar series, focusing on the mathematical methods underpinning data science. Participants will engage with cutting-edge methodologies in statistical physics, statistical inference, optimization, and control, alongside advanced techniques in numerical simulations and scientific computing for machine learning. By integrating these disciplines, the program provides an overview of rigorous foundations and tools for tackling real-world challenges through data-driven approaches. More about the program will be found on this page <https://sites.google.com/view/math-high-dimensional-data/home>. For additional information, do not hesitate to contact us. Best regards, The organisers of the school Elena Agliari Emanuele Caglioti Alberto Fachechi Lorenzo Taggi -- Alberto Fachechi, PhD Researcher (RTD-A) Dipartimento di Matematica G. Castelnuovo Sapienza Università di Roma

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Reminder: A Spring Day in Probability and Statistical Physics - 11 April 2025, Florence
by Gianmarco Bet 01 Apr '25

01 Apr '25

Dear colleagues, This is a reminder that on Friday, *April 11th*, the fifteenth seminar day in the “Days in Probability and Statistical Physics” will take place.in at the Department of Mathematics and Computer Science "Ulisse Dini", Viale Morgagni 67/a, Florence. Lecturers: Prof. *Clara Stegehuis* (Twente University) Title: Detecting geometry in scale free networks Prof.* David Belius* (UniDistance Suisse) Title (Introductory lecture): The story of mean-field spin glasses Title (Seminar): The Thouless-Andersson-Palmer (TAP) approach to mean-field spin glasses Each speaker will give a 45 minutes introductory lecture tailored for non-experts, followed by another 45 minutes of seminar-style presentation (see program). More information, including the abstracts, can be found on the event’s webpage <https://sites.google.com/unifi.it/florence-probability-group/probability-da…> . *Practical notes*: for organization purposes, we kindly ask those who plan to attend to fill out the following Google Form *by* *April 6*: https://forms.gle/zYv2BFAmMy42cf8y8 We look forward to seeing many of you and please feel free to share the announcement with those you think may be interested, particularly to young researchers! Luca Avena, Luisa Andreis, Gianmarco Bet and Elia Bisi Scientific advisory committee: F. Caravenna, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, B. Scoppola, E. Scoppola. *PROGRAM* 10:30-11:00 Welcome coffee 11:00-11:45 Introductory lecture: Stegehuis 11:45-12:15 Break 12:15-13:00 Seminar: Stegehuis 13:00-14:30 Lunch 14:30-15:15 Introductory lecture: Belius 15:15-15:45 Break 15:45-16:30 Seminar: Belius You can find here <https://mail.google.com/mail/u/1/#search/probability+day+11+aprile/FMfcgzQZ…> the poster of the event.

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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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