October 2025 - Random - Mailing list — Dipartimento di Matematica, UniPI

Call for applications - MAPPA double degree master program - Padova & Paris Dauphine
by Claudio Fontana 09 Apr '26

09 Apr '26

Dear colleagues, I am pleased to share with you the call for applications for the MAPPA program, a DOUBLE-DEGREE MASTER PROGRAM IN MATHEMATICS jointly offered by the UNIVERSITY OF PADOVA and PARIS DAUPHINE UNIVERSITY (Paris Sciences & Lettres). This two-year program offers three specialized study paths: - MATHEMATICAL ANALYSIS - PROBABILITY AND FINANCE - PROBABILITY AND STATISTICAL MECHANICS Admitted students will spend their first year in Padova and their second year in Paris. Upon successful completion of the program, students will be awarded two degrees: Laurea Magistrale in Matematica (from Padova) and Master in Mathematics and Applications (from Paris Dauphine). The master thesis will be conducted in collaboration with two supervisors, one in Padova and one in Paris. Admission to the program, limited to 10 students, will be based on CV, presentation letters, and an interview. Financial support and fellowships are available for admitted students. For more information on the MAPPA program, please visit: https://web.math.unipd.it/mappawp The call for applications (bando) can be found here: https://www.math.unipd.it/news/bando-di-concorso-n-1-2025-per-10-posti-per-… The _DEADLINE FOR APPLICATIONS_ is MAY 12, 2024, AT 12:00. Please share this opportunity with your bachelor students, and feel free to contact me for further information. Best Regards, Claudio Fontana

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Seminario Padova - Simone Baldassarri
by alekos.cecchin＠unipd.it 17 Nov '25

17 Nov '25

Buongiorno a tutti, Vorremmo segnalarvi che venerdì prossimo (3 Ottobre) in aula 2AB40 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Simone Baldassarri (Gran Sasso Science Institute (GSSI)) <https://sites.google.com/view/simonebaldassarri> https://sites.google.com/view/simonebaldassarri Title: How opinions evolve on dense dynamic random graphs Date: October 3, 2025, at 14:30, 2AB40 Abstract: Describing the evolution of dynamic networks together with dynamic processes running on them constitutes a major challenge in network science. Despite considerable efforts in past years, and notable progress on an intuitive and approximative level, our mathematical understanding of such systems is still in its infancy. The focus of this talk will be two-opinion voter models on dense dynamic random graphs. The goal is to understand and describe the occurrence of consensus versus polarisation over long periods of time. The former means that all vertices have the same opinion, the latter means that the vertices split into two communities with different opinions and few disagreeing edges. We consider three models for the joint dynamics of opinions and graphs: one with one-way feedback and two with two-way feedback. Key results cover functional laws of large numbers for the densities of the two opinions, functional laws of large numbers for the dynamic random graphs in the space of graphons, and a characterisation of the limiting densities in terms of Beta-distributions. This talk is based on a joint work with P. Braunsteins, F. den Hollander and Michel Mandjes. Vi aspettiamo numerosi! Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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New COST Action on Stochastic Differential Equations
by Alessandro Ramponi 31 Oct '25

31 Oct '25

Dear Colleagues, We are pleased to announce the launch of a new COST Action devoted to advancing research and collaboration in the broad field of Stochastic Differential Equations (SDEs) and their applications across probability, statistics, and related disciplines. This Action brings together researchers from across Europe and beyond who are working on the mathematical, computational, and applied aspects of stochastic dynamics. It aims to create an interdisciplinary network connecting experts in probability theory, mathematical statistics, stochastic analysis, and applied modeling. The Action supports scientific networking by organising workshops, training schools, seminars, and supporting short-term scientific missions by its members to other countries. Our scientific work is organized around five Working Groups: 1. WG1: Theory of SDEs 2. WG2: Numerical and Computational Methods 3. WG3: Inference and Statistics for SDEs 4. WG4: Applications and Modeling 5. WG5: Education, Dissemination, and Networking We invite researchers and students interested in any of these areas to participate in the Action’s activities — workshops, training schools, and collaborative projects. Participation is open to scientists from all COST member countries. For further information and to join a Working Group, please visit https://www.cost.eu/actions/CA24104/ Best regards, Alessandro Ramponi (COST Action Management Committee)

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Seminars in Statistics at Collegio Carlo Alberto - Fadoua BALABDAOUI (ETH ZURICH)
by Matteo Giordano 31 Oct '25

31 Oct '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 07/11/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Fadoua BALABDAOUI (ETH ZURICH) Title: Unmatched linear regression: Asymptotic results under identifiability Abstract: Consider the regression problem where the response $Y\in \mathbb R$ and the covariate $X\in \mathbb R^d $ for $d\geq 1$ are unmatched. Under this scenario we do not have access to pairs of observations from the distribution of $(X, Y)$, but instead we have separate data sets $\{Y_i\}_{i=1}^n$ and $\{X_j\}_{j=1}^m$, possibly collected from different sources. We study this problem assuming that the regression function is linear and the noise distribution is known or can be estimated. We introduce an estimator of the regression vector based on deconvolution (the DLSE) and demonstrate its consistency and asymptotic normality under an identifiability assumption. Under non-identifiability of the regression vector but identifiability of the distribution of the predictor, we construct an estimator of the latter based on the DLSE and show that it converges to the true distribution of the predictor at the parametric rate in the Wasserstein distance of order 1. We illustrate the theory with several simulation results. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 05/11/2025* 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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Maria Kalli and Jim Griffin Seminars at Ca' Foscari University of Venice - 3 November 2025
by Roberto CASARIN 31 Oct '25

31 Oct '25

Dear Colleagues, I'm pleased to invite you to the Department Seminars, which will be held on Monday, November 3 at 11:00 in Meeting Room 1 with the following schedule: - 11:00-12:00: *Maria Kalli *(*King's College London*), Network Modeling of Asynchronous Change-Points in Multivariate Time Series - 12.15- 13.15: *Jim Griffin* (*University College London*), Some approaches to modelling high-dimensional multivariate time series All the interested researchers are warmly invited to attend in person or online! Best regards Roberto Casarin (and on behalf of the Organizing Committee) More information and Zoom link are available here: https://www.unive.it/data/agenda/1/104528 https://unive.zoom.us/j/81247640154?pwd=rPM81OcUZRb5VIW4NSHwOPLurD01le.1 *Title*: Network Modeling of Asynchronous Change-Points in Multivariate Time Series *Abstract *: We introduce a novel Bayesian method for asynchronous change-point detection in multivariate time series. This method allows for change-points to occur earlier in some (leading) series followed, after a short delay, by change-points in some other (lagging) series. Such dynamic dependence structure is common in fields such as seismology and neurology where a latent event such as an earthquake or seizure causes certain sensors to register change-points before others. We model these lead-lag dependencies via a latent directed graph and provide a hierarchical prior for learning the graph’s structure and parameters. Posterior inference is made tractable by modifying particle MCMC methods designed for univariate change-point problems. We apply our method to both simulated and real datasets from the fields of seismology and neurology. In the simulated data, we find that our method outperforms competing methods in settings where the change-point locations are dependent across series. In the real data applications we show that our model can also uncover an interpretable network structure. *Title*: Some approaches to modelling high-dimensional multivariate time series *Abstract*: There has been an increasing interest in modelling high-dimensional multivariate economic time series. Many models build on the work-horse Vector AutoRegression (VAR) and its time-varying extension to TVP-VAR. These models can provide better forecasts and structural analysis than low-dimensional models (particularly during crisis periods) but the large number of parameters can be challenging both inferentially and computationally. In this talk, I will review two recent approaches. The first is the Tensor VAR (TVAR) model which uses a tensor structure to achieve dimension reduction in the coefficient matrices of the VAR. I will discuss Bayesian inference in these models and an extension to a time-varying parameter model. The second approach considers the time-varying Factor Augmented VAR (FA-VAR) and uses an autoencoder to extract low-dimensional non-linear factors from high-dimensional data. I will discuss how a shrinkage prior using groupings of the variables can lead to identifiable factors and better predictive performance. -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera <https://www.unive.it/isba2024> https://www.unive.it/isba2024

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OWPS today
by Federico Sau 30 Oct '25

30 Oct '25

Dear all, This is a reminder for today's seminar by Barbara Dembin (Strasbourg) and Ron Peled (Maryland) on Minimal surfaces in random environment, at 14:00 Rome time (please, note the exceptional time). All info's here: https://www.owprobability.org/one-world-probability-seminar. Looking forward to seeing many of you! Best, the organizers *** Il tuo 5x1000 al diritto allo studio Università degli Studi di Milano CF 80012650158

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Several Assistant/Associate/Full Professor positions at Imperial
by Passeggeri, Riccardo 29 Oct '25

29 Oct '25

Salve a tutti, Vorrei segnalarvi che il Dipartimento di Matematica dell’Imperial College London ha aperto diverse posizioni a tutti i livelli: Assistant, Associate e Full Professor. Da notare che la posizione di Assistant Professor è permanente (è una tenured position). Le posizioni riguardano tutte e quattro le sezioni del Dipartimento: Statistics, Mathematical Finance, Pure Mathematics e Applied Mathematics & Mathematical Physics. Inoltre, sono disponibili diverse posizioni (several positions), poiché il College intende espandere significativamente il Dipartimento nei prossimi anni. Potete trovare tutte le informazioni al seguente link: https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=259… Cordiali saluti, Riccardo

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Seminario Kais Ammari - Politecnico di Milano - 3 Novembre 2025
by Luca Scarpa 29 Oct '25

29 Oct '25

Si segnala il seguente seminario a tutti gli interessati. Lunedì 3 Novembre 2025, ore 14:30. Aula Seminari VI Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Kais Ammari, University of Monastir. Title: Degenerate Damping in Interacting Elastic Systems. Abstract: We study the regularity and stability of coupled elastic systems subject to distinct damping mechanisms: one acting through the average velocity and another via a fractional power of the elastic operator. The damping matrix is degenerate, meaning that dissipation does not affect all components equally. Using a frequency-domain approach based on resolvent estimates, we describe how this degeneracy influences the semigroup regularity and the decay of solutions. The obtained results are shown to be optimal and relevant for applications in structural mechanics and vibration control. Link Zoom: https://polimi-it.zoom.us/j/94510717258 Link Seminario Polimi: https://www.mate.polimi.it/Eventi/?id=2645&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

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Nov 6 - Stats seminars Kopp @ Sapienza MEMOTEF
by Francesca Panero 29 Oct '25

29 Oct '25

Carissimi tutti, On Thursday 6th of November at the MEMOTEF Department, Sapienza University, we will have the pleasure to listen to the seminar of Emma Kopp<https://emmakopp1.github.io>, PhD student from CERMADE Paris-Dauphine University, with title Recent work on phylogenetics applied to historical linguistic and cultural evolution. The seminar will take place 9-10am in Aula Cristina Di Fresco (4th floor of the Economics building, administration corridor, Via del Castro Laurenziano 9 Roma). You can find the abstract below. Best wishes, Francesca Recent work on phylogenetics applied to historical linguistic and cultural evolution Linguistic phylogenies reconstruct the evolutionary relationships between languages based on cognate data (presence/absence of shared linguistic traits). We use theoretical bounds derived from Mossel's work to determine the temporal limit to which phylogenetic methods can reliably reconstruct linguistic tree topology or ancestral states. The study combines simulation of synthetic data on trees to assess reconstruction accuracy as a function of tree age and number of cognates, and ancestral state reconstruction on real lexical data from Sino-Tibetan and Bantu language families. The study methodologically demonstrates that for languages evolving at rates typically observed in the literature, it is impossible to reconstruct the topology of a tree whose root age exceeds 12,000 years. Beyond this threshold, the inferred topology will be no more reliable than a random estimate. Analysis shows that increasing the number of traits improves reconstruction for ancient trees, but gains remain limited. Ancestral state reconstruction results show that certain semantic categories (body parts, numerical concepts and natural elements) can be reconstructed at remarkable temporal depths. This convergence in the retention of essential concepts suggests the existence of universal constraints in lexical evolution. These results establish for the first time a theoretical quantitative bound on phylolinguistic methods, demonstrating that reconstruction of deep topologies of ancient linguistic families based on cognate lexical data constitutes a doomed enterprise. ------------------------------------------- Dr Francesca Panero (she/her) Assistant Professor in Statistics (RTT), Department of Methods and Models for Economics, Territory and Finance Sapienza University, Rome Visiting Fellow, Department of Statistics London School of Economics and Political Science Visiting Lecturer, Faculty of Informatics Università della Svizzera Italiana Website: https://francescapanero.github.io

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Seminars of Tiozzo, Klippel, Jara and D'Alimonte at La Sapienza
by Faggionato, Alessandra 29 Oct '25

29 Oct '25

Dear all, In addition to the already announced seminar by Tiozzo today (*Harmonic functions on groups, random walks, and the identification of the Poisson boundary*), we will have three seminars in Probability at the Department of Mathematics of Sapienza University in the coming weeks. The speakers will be Andreas Klippel (TU Darmstadt), Milton Jara (IMPA, Rio de Janeiro), and Lucas D’Alimonte (LPSM – Sorbonne Université). Below you can find the titles and abstracts. Buona giornata Alessandra ************************************************** *Monday, November 3 2025* *16:15, Sala di Consiglio, Dipartimento di Matematica* *Speaker: *Andreas Klippel (TU Darmstadt) *Title*: Two Sides of One Coin: Approaches to the Random Loop Model *Abstract: *In the last decades, graphical representations have emerged as powerful tools to study models from statistical physics. One prominent example is the random loop model, whose two-point function encodes various spin correlations of quantum systems such as the Heisenberg ferromagnet, the antiferromagnet, and the quantum XY model. Since the model lacks monotonicity properties and correlation inequalities such as FKG, alternative techniques have been developed to analyze it. We will discuss two complementary approaches suitable for different regimes. The first concerns the absence of long loops, corresponding to the regime without a phase transition. This situation can be studied by comparing the model to a percolation process and showing that certain structural features effectively reduce the percolation parameter, leading to exponentially small loops. The second approach addresses the occurrence of a phase transition, which is typically established through the method of reflection positivity. The presentation will provide an introduction to the random loop model, outline these two analytical techniques, and present several results illustrating their application. ********************************************************************* *Monday, November 10 2025* *16:15, Sala di Consiglio, Dipartimento di Matematica* *Speaker: *Milton Jara (Impa, Rio de Janeiro) *Title*: Quantitative Hydrodynamics for a generalized contact model *Abstract: *We use the formalism of Quantitative Hydrodynamics to improve the quantitative hydrodynamic limit obtained in Chariker, De Masi, Lebowitz and Presutti (2023) for an interacting particle system inspired by integrate-and-fire neuron models. Our estimates are good enough to show that the typical fluctuations around the aforementioned hydrodynamic limit are Gaussian, and governed by an inhomogeneous stochastic linear equation. Joint work with Julian Amorim (IMPA) and Yangrui Xiang (Louisiana State University) *********************************************************************** *Monday, November 17 2025* *16:15, Sala di Consiglio, Dipartimento di Matematica* *Speaker: *Lucas D’Alimonte (LPSM - Sorbonne Université) *Title:* Ornstein—Zernike theory for the near-critical planar random cluster model *Abstract:* In this talk, we will discuss the classical Ornstein-Zernike theory for the random-cluster model (also known as FK percolation). In its modern form, it is a very robust theory, which most celebrated output is the computation of the asymptotically polynomial corrections to the pure exponential decay of the two-points correlation function of the random-cluster model in the subcritical regime. We will present an ongoing project that extends this theory to the near-critical regime of the two-dimensional random-cluster model, thus providing a precise understanding of the Ornstein-Zernike asymptotics when p approaches the critical parameter p_c. The output of this work is a formula encompassing both the critical behaviour of the system when looked at a scale negligible with respect to its correlation length, and its subcritical behaviour when looked at a scale way larger than its correlation length. Based on a joint work with Ioan Manolescu. -- ************************************************* 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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