- Random - Mailing list — Dipartimento di Matematica, UniPI

Post-Doc position at TU Wien, Austria
by Fabio Colpo 18 Dec '25

18 Dec '25

Dear colleagues, The research group Financial and Actuarial Mathematics at TU Wien, https://www.tuwien.at/en/mg/fam, offers a 6-year postdoc position, with a moderate teaching load of four hours per week. Here are the details and an application link: https://jobs.tuwien.ac.at/Job/261820 Deadline: January 29th, 2026. If you have any questions, please contact jeisenbe(a)fam.tuwien.ac.at Best regards, Fabio Colpo

1 0

Workshop "Anomalous Transport and Anomalous Diffusion"
by Lorenzo Marino 18 Dec '25

18 Dec '25

Dear colleagues, We are glad to announce the workshop “Anomalous Transport and Anomalous Diffusion”, which will take place at Scuola Normale Superiore di Pisa on March 16-20, 2026. This workshop is primarily intended for researchers and students in Probability, Mathematical Physics, and Statistical Mechanics. The workshop will focus on anomalous diffusion and transport phenomena, particularly addressing topics such as the emergence of superdiffusion and subdiffusion from scaling limits, as well as their connection to space/time fractional equations. The program comprises three mini-courses, each consisting of six one-hour lectures, supplemented by a series of seminars of around 45 minutes given by distinguished national and international experts in the field. To foster networking among participants, a poster session is scheduled for Tuesday afternoon. ------------------------------ Mini-Courses - Luisa Beghin (Università La Sapienza di Roma) - Zhen-Qing Chen (University of Washington) - Tomasz Komorowski (Polish Academy of Sciences) - Takashi Kumagai (Waseda University) - Stefano Olla (Université Paris Dauphine and) ------------------------------ Seminars - Giada Basile (Università La Sapienza di Roma) - Krzysztof Bogdan (Wroclaw University of Science and Technology) - Tomasz Grzywny (Wroclaw University of Science and Technology) - Jozsef Lorinczi (Renyi Institute of Mathematics) - Michal Ryznar, (Wroclaw University of Science and Technology) - Marielle Simon (Université Lyon 1) - Bruno Toaldo (Università degli Studi di Torino) - Vanja Wagner (University of Zagreb) ------------------------------ Registration Participation in the event is free of charge but registration is mandatory. The registration form is available on the workshop webpage <https://indico.sns.it/event/133/overview>, with a deadline on February 20, 2026. If you have any questions, feel free to contact us at antrandi26(a)gmail.com. For more information, see the workshop webpage <https://indico.sns.it/event/133/overview>. Thanks for sharing with those who might be interested! Best regards, The organising committee Giacomo Ascione Franco Flandoli Lorenzo Marino

1 0

Seminario di Giulio Biroli di Fisica Teorica e Machine Learning
by Faggionato, Alessandra 17 Dec '25

17 Dec '25

Il Professor Giulio Biroli, in visita al Dipartimento di Fisica nella settimana dal 15 al 19 dicembre, darà un seminario di Fisica Teorica e Machine Learning: Speaker: Prof. Giulio Biroli (École Normale Supérieure, Paris) Titolo: Exact RG and Generative AI: from stochastic interpolants and diffusion models to Polchinski’s equation & back Data & Ora: Giovedì 18 dicembre 2025, alle 14:00 Luogo: Aula Picone, Dipartimento di Matematica [CU006 - Edificio Guido Castelnuovo, piano terra] Referente: Prof.ssa Chiara Cammarota -- ************************************************* 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 *************************************************

1 0

Call for Papers and Abstracts: IFCS 2026 – 19th Conference of the International Federation of Classification Societies (Milan, July 14-16, 2026)
by Giorgia Zaccaria 16 Dec '25

16 Dec '25

Dear Colleagues, We are pleased to invite you to submit a contribution to the *19th Conference of the* *International Federation of Classification Societies (IFCS 2026)*, which will take place at the University of Milano-Bicocca and the University of Milan in *Milan* on *July 14-16, 2026*. The conference website is available at https://ifcs2026.unimib.it/. *Conference Topics* The conference aims to promote interactions among scholars and professionals across different fields, including classification and clustering, complex data analysis, network and spatio-temporal methodologies, machine learning and deep learning techniques. *Keynote Speakers* - Krzysztof Jajuga (Wrocław University of Economics and Business) - Laura Sangalli (Politecnico di Milano) - Brendan Murphy (University College Dublin) - Mohamed Nadif (Université Paris Cité) *Important Dates* - Pre-conference *proceedings* (Springer Volume with peer review): - Deadline: January 18, 2026 - Notification of acceptance: March 1, 2026 - Deadline for the revised version: March 15, 2026 - Pre-conference *abstracts*: - Deadline: March 15, 2026 - Notification of acceptance: March 31, 2026 *Submission Guidelines for Proceedings* Authors are invited to submit a short paper (6-8 pages) following the Springer template. Accepted papers, after peer review, will be published in an open-access eBook in the Springer Series "Studies in Classification, Data Analysis, and Knowledge Organization". More details can be found at https://ifcs2026.unimib.it/publications-2/ <https://ifcs2026.unimib.it/publications-2/>. *Special issues* We are also planning to publish Special Issues in collaboration with prominent international journals. Details will be available soon at https://ifcs2026.unimib.it/publications-2/ <https://ifcs2026.unimib.it/publications-2/>. *Awards* IFCS provides scientific awards to graduate students, postdoctoral fellows, and young and senior researchers, who will be awarded during the conference. More details are available at https://ifcs2026.unimib.it/awards/ . We look forward to receiving your contributions and welcoming you to Milan. Best regards, The Local Organizing Committee of IFCS 2026 *Francesca Greselin, Luca Brusa, Andrea Cappozzo, Alessandro Casa, Francesca De Battisti, Francesco Denti, Sónia Dias, Andrea Marletta, Marta Nai Ruscone, Giorgia Zaccaria, Mariangela Zenga* Dr. Giorgia Zaccaria, Ph.D. Postdoctoral Research Fellow University of Milano-Bicocca Personal pages: Giorgia Zaccaria Personal page <https://giorgiazaccaria.github.io/> - Giorgia Zaccaria ResearchGate <https://www.researchgate.net/profile/Giorgia-Zaccaria> - ‪Giorgia Zaccaria‬ - ‪Google Scholar‬ <https://scholar.google.it/citations?user=svSITAkAAAAJ&hl=it>

1 0

Seminario: Exact RG and Generative AI - G. Biroli - Sapienza 18 dicembre
by Valentina Cammarota 16 Dec '25

16 Dec '25

Ricevo e inoltro questo annuncio di seminario. Saluti, Valentina Cammarota ******************************************************************************************************** Dear all, It is a pleasure to announce a forthcoming seminar. The speaker will be Prof. Giulio Biroli (École Normale Supérieure, Paris) — Profile: https://www.lpens.ens.psl.eu/giulio-biroli/ — who will talk about: Title: Exact RG and Generative AI: from stochastic interpolants and diffusion models to Polchinski’s equation & back Date & Time: Thursday 18 December 2025, at 2:00PM Location: Aula Picone, Department of Mathematics, Sapienza [CU006 - Guido Castelnuovo Building, ground floor] Please spread the word to anyone interested. All are welcome. Prof. Chiara CAMMAROTA, PhD Dipartimento di Fisica (Ed. Marconi) Sapienza, Universita' di Roma P.le Aldo Moro 5, 00185 Roma (Italy) ************************************************************************************ Valentina Cammarota Associate Professor in Probability and Mathematical Statistics Sapienza University of Rome https://www.dss.uniroma1.it/it/dipartimento/persone/cammarota-valentina https://sites.google.com/site/valentinacammarota/ ************************************************************************************ -- *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>*

1 0

Next POPS talk 17.12.: Giulia Sebastiani "From Parisi to Boltzmann: via GREM and TAP"
by Jonas Köppl 15 Dec '25

15 Dec '25

Dear colleagues, The year is coming to an end and we are excited to announce that our next and final speaker of the year will be Giulia Sebastiani (Universität Bonn) who will be speaking about From Parisi to Boltzmann: via GREM and TAP. on December 17, at 13:30 GMT / 14:30 CET / 15:30 EET, on Teams broadcast with the following link: Link to join teams<https://teams.microsoft.com/l/meetup-join/19%3ameeting_N2Q2NGY2NDEtYWVmNS00…> The talk is scheduled for one hour, allowing time for questions. Additionally, we'll be remaining on the call for a chat afterwards if you'd like to join us. We are looking forward to seeing you. Speaker: Giulia Sebastiani Title: From Parisi to Boltzmann: via GREM and TAP Abstract: Introduced by Derrida in the 80s, the Generalized Random Energy Models (GREM) serve as simplified, abstract models that are completely solvable and have significantly contributed to our comprehension of specific facets within the Parisi theory for mean-field spin glasses. In this talk, after an overview of Parisi’s ultrametric principle for the free energy of the Sherrington-Kirkpatrick (SK) model, we will turn to the alternative approach due to Thouless, Anderson, and Palmer (TAP). The TAP approach provides a representation of the SK free energy as the maximum of a random functional over local magnetizations. A simple reformulation reveals that, when evaluated at its critical points, the TAP free energy becomes a nonlinear functional of empirical measures constructed from local fields. Motivated by this structure, we construct abstract GREM-like models whose Hamiltonians are nonlinear functionals of empirical measures associated with GREM-like variables. For the thermodynamic free energy of these abstract models, dual Parisi-like formulas hold and turn out to be finite-dimensional “collapsed” versions of the underlying infinite-dimensional Gibbs-Boltzmann principles. Crucially, the nonlinearity inherited from the TAP representation generates a correction term (absent in canonical GREM-like models) that substantially reduces the gap between the free energies of such abstract hierarchical models and Parisi’s solution for the SK. Based on joint work with Nicola Kistler and Marius Alexander Schmidt. You can find more information about the talk on our website Postgraduate Online Probability Seminars (pg-prob-sem.github.io)<https://pg-prob-sem.github.io/>. Warm regards, The POPS Team This talk will be broadcast on December 17, at 13:30 GMT / 14:30 CET / 15:30 EET on MS Teams only. Meeting ID: 393 527 089 878 Passcode: dsm7py

1 0

Seminars in Statistics at Collegio Carlo Alberto - Alejandra Avalos-Pacheco (JKU Linz)
by Matteo Giordano 15 Dec '25

15 Dec '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 19/12/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ———————————————————————— 10.00-11.00 Speaker: Alejandra Avalos-Pacheco (JKU Linz) Title: Fast Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics Abstract: Data-integration of multiple studies can be key to understand and gain knowledge in statistical research. However, such data present artifactual sources of variation, also known as covariate effects. Covariate effects can be complex, leading to systematic biases, that if not corrected could lead to unreliable inference. In this talk I will present novel sparse latent factor regression (FR) and multi-study factor regression (MSFR) models to integrate such heterogeneous data. The FR model provide a tool for data exploration via dimensionality reduction and sparse low-rank covariance estimation while correcting for a range of covariate effects. MSFR are extensions of FR that enable us to jointly obtain a covariance structure that models the group-specific covariances in addition to the common component. I will discuss the use of several sparse priors (local and non-local) to learn the dimension of the latent factors. Our approaches provide a flexible methodology for sparse factor regression which is not limited to data with covariate effects. Our models are fitted leveraging novel scalable EM and ECM algorithms as well as Variational Inference methods. I will present several examples, with a focus on bioinformatics applications. We show the usefulness of our methods in two main tasks: as an unsupervised dimension reduction task to give a visual representation of the latent factors of the data; and as a supervised tool to: (i) provide survival predictions leveraging the obtained factors, or (ii) obtain dietary patterns, associating each factor with a measure of overall diet quality related to cardiometabolic disease risk. ———————————————————————— Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 17/12/2025* 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/>

1 0

deadline extension - Fintech 2026, January 29-30 2026 @UniPV
by Giacomo Bormetti 15 Dec '25

15 Dec '25

Dear Colleagues, The deadline for abstract/paper submission at the 4th edition of the '*International Fintech Research Conference (Fintech2026)*', January 29-30, 2026, Pavia, has been extended to *December 21st, 2026*. Feel free to share with all interested people. Kind regards On behalf of the local organizing committee Giacomo Bormetti *** *International Fintech Research Conference* Finance, technology, methodologies University of Pavia January 29-30, 2026 The Conference <https://economiaemanagement.dip.unipv.it/en/research/research-teams-and-top…> aims to stimulate discussion and promote collaborations among researchers working in all areas of Fintech, providing a multidisciplinary venue. Contributed papers are welcome in all Fintech research fields, including (but not limited to) theoretical analysis of the Fintech domain, AI and machine learning applications to Finance, Cryptocurrencies, Decentralized Finance, Big data analysis, Cybersecurity, Nowcasting, Text analysis in Finance, and Network analysis in Finance. The Conference establishes a *prize for the best paper* presented by young researchers. *Submission Fees* *100,00 EUR*: the fee covers coffee breaks, lunches, and the social dinner *60,00 EUR*: for people attending the social dinner only The Conference is the fourth edition of an annual initiative promoted by the *Fintech Research Network* <https://www.fintechlab.it/network/>, steered by a group of researchers working in all areas of Fintech. The network aims to develop proactive research initiatives, including conferences, summer schools, workshops, seminars, and research projects, within the Fintech framework. *Keynote speakers*: - *Agostino Capponi*, Columbia University - *Frédéric Vrins*, Université Catholique de Louvain *Scientific Committee*: Tomaso Aste, Matteo Barigozzi, Francesco Bartolucci, Emilio Barucci, Giacomo Bormetti, Andrea Consiglio, Stefania Corsaro, Luca Di Persio, Massimiliano Ferrara, Gianna Figà-Talamanca, Paolo Giudici, Fabrizio Lillo, Daniele Marazzina, Silvia Muzzioli, Claudio Tebaldi. *Organizing Committee*: Giacomo Bormetti, Riccardo Brignone, Paolo Giudici, Andrea Pallavicini, Emanuela Raffinetti, Alessandro Spelta, Lorenzo Trapani. *Important Dates* Abstract/Paper submission *December 21, 2025* Notification to authors *December 31, 2025* Conference registration *January 1-14, 2026* *Giacomo Bormetti* Department of Economics and Management Professor of Mathematical Methods for Economics, Finance, and Actuarial Sciences MSc in Finance Program Coordinator <http://maps.google.com/?q=Via+San+Felice%2C+5+27100+Pavia+%28Italia%29> Office 26, Via San Felice, 5 - 27100 Pavia (Italia) <http://maps.google.com/?q=Via+San+Felice%2C+5+27100+Pavia+%28Italia%29> T. *0382.98 <0382986207>**.**6483* *Webpage <https://unipv.unifind.cineca.it/get/person/021642>*

1 0

Vacancy for three assistant professors in statistics at TU Eindhoven (NL)
by Elisa Perrone 15 Dec '25

15 Dec '25

Dear Colleagues, The Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) is excited to announce three full-time openings for Assistant Professors in Statistics. We are looking for outstanding candidates with research profiles ranging from foundational to applied statistics. The positions will be embedded in the Statistics, Probability and Operations Research (SPOR) cluster, offering a vibrant and collaborative research environment. Further information about the positions and the application procedure can be found here: link <https://www.tue.nl/en/working-at-tue/vacancy-overview/assistant-professors-…>. The application deadline is February 2, 2026. We would greatly appreciate it if you could forward this announcement to potential candidates. Best wishes, Elisa Perrone --- Elisa Perrone, Ph.D. Assistant Professor Department of Mathematics and Computer Science Eindhoven University of Technology elisaperrone.info <http://elisaperrone.info/>

1 0

SPASS seminar 16/12: Andrei Volodin
by Dario Trevisan 12 Dec '25

12 Dec '25

Dear all, we would like to announce the following seminar of our SPASS series (details below). With best regards, Dario Trevisan ---- Tuesday December 16th 2025 at 11:00 CET Saletta Riunioni Dipartimento di Matematica, Università di Pisa Speaker: Andrei Volodin (University of Regina) Title: On the Negatively Mixed Distributions Abstract: The negatively mixed distributions will be derived by the usage negative weights instead of positive. In this talk we construct the negatively mixed distribution and derives its properties, including the cumulative distribution function, raw moment, moment generating function, and characteristic function. Furthermore, we provide special case, the negatively mixed exponential distribution and its properties afterwards. We also propose the parameter estimation based on the method of moments and the maximum likelihood methods. The performance of estimators was studied through the Monte Carlo simulations. Moreover, a dataset is analyzed to show how the proposed model and method works in practice. -- Professor of Probability and Statistics Coordinator for Internationalization Dipartimento di Matematica Università di Pisa https://web.dm.unipi.it/trevisan/

1 0