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JOB ALERT: Two-year Postdoctoral Research Position within an ERC Project
by Livia Mian 03 Nov '25

03 Nov '25

Gentilissimi/e, Il Dipartimento di Scienze Statistiche dell’Università di Padova ha indetto una procedura selettiva per il conferimento di un contratto di ricerca di durata biennale nell’ambito del progetto "*SPECOLA – Spatial Transcriptomics through the Lens of Statistical Modeling and AI*", finanziato dallo European Research Council (ERC). La persona selezionata lavorerà sotto la supervisione del Prof. Davide Risso e si occuperà dello sviluppo di modelli statistici per l’analisi spaziale dei trascritti e delle cellule per: - Studiare l’organizzazione spaziale dei trascritti intra e tra cellule, permettendo l’identificazione di trascritti co-localizzati e di trascritti localizzati in specifici compartimenti cellulari; - Studiare l’organizzazione spaziale delle cellule, permettendo l’identificazione di strutture di vicinato cellulare e domini spaziali nei tessuti. Per requisiti, modalità di selezione e invio della candidatura consultare la pagina: https://www.stat.unipd.it/selezione-DIPSTAT2025CR03 *Scadenza: 28 Novembre 2025* ore 13:00 *** Dear all, The Department of Statistical Sciences at the University of Padua has opened a 2 year postdoc position in the frame of the project *"SPECOLA – Spatial Transcriptomics through the Lens of Statistical Modeling and AI"*, funded by the European Research Council (ERC). The selected candidate will work under the supervision of Prof. Davide Risso and will lead the efforts related to the development of statistical models for the spatial analysis of transcripts and cells. In particular, the candidate will: - study the spatial organization of transcripts within and across cells, allowing the identification of co-localized transcripts and transcripts preferentially located in certain cell compartments; - study the spatial organization of cells, allowing the identification of cellular neighborhoods and spatial domains. For full details on requirements and the selection procedure please check: https://www.stat.unipd.it/selezione-DIPSTAT2025CR03 *Deadline: 28 November 2025, *1:00 pm CET Best regards, -- Ufficio Ricerca Dipartimento di Scienze Statistiche Università degli Studi di Padova Tel. +39 049 827 4118

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scholarships for master program in Paris
by CRISTINA TONINELLI 03 Nov '25

03 Nov '25

—— Dear colleagues, Paris Graduate School for Mathematical Sciences (PGSM), the master scholarships program of the Fondation Sciences Mathématiques de Paris, is opening it international call for applications from Monday November 3rd 2025 to Tuesday February 3rd 2026 (deadline at 11:59 p.m., Paris time). The call is open to L3 or M1 students from universities outside of France. Offer description: https://sciencesmaths-paris.fr/en/pgsm-master Application form: https://applications.sciencesmaths-paris.fr/en/call-for-pgsm-master-893.htm Feel free to circulate this message to your contacts. --- Bien cordialement, [cid:2ca5f34c-f952-41af-b074-b585c28ea03b]

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Seminario on-line PRISMA lunedì 3 novembre 2025 - L. Benigni & G. Cipolloni
by Sonia Mazzucchi 03 Nov '25

03 Nov '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. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb Il prossimo appuntamento è per oggi *lunedì 3 novembre* 2025. I relatori saranno *Lucas Benigni *(Università di Montreal) e *Giorgio Cipolloni* (Università di Roma 2 Tor Vergata) che parleranno di: *The mystery of universality in Random Matrix Theory*. 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/88089787189 ID riunione: 880 8978 7189 Codice d’accesso: 144017 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Lucas Benigni (Università di Montreal) e Giorgio Cipolloni (Università di Roma 2 Tor Vergata) TITOLO: The mystery of universality in Random Matrix Theory. RIASSUNTO: Over the past fifteen years, our understanding of universality in random matrix theory has undergone a remarkable transformation. For many models of large random matrices, it is now known that both eigenvalue statistics and eigenvector structures exhibit universal behavior that depends only on the symmetry class and not on the fine details of the matrix entries. This universality lies at the heart of deep conjectures in mathematical physics—connecting topics as diverse as quantum chaos, number theory, and high-dimensional statistics—and has become one of the major success stories of modern probability theory. In this two-part colloquium, we will survey these advances with a focus on Wigner matrices, Hermitian or symmetric random matrices with i.i.d. entries up to the symmetry constraint. The first part will discuss universality of eigenvalues, from local spectral laws to modern proofs of universality of local statistics. The second part will turn to eigenvectors, highlighting recent progress on delocalization, quantum ergodicity, and eigenvector statistics.

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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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