Ricordiamo che oggi pomeriggio alle 16 riparte il ciclo di 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
ll prossimo appuntamento è per oggi *lunedì 6 ottobre* 2025. I relatori
saranno *Chiara Franceschini* (Università di Modena e Reggio Emilia) e
*Federico
Sau* (Università di Milano Statale) che parleranno di:
*Sistemi interagenti del non-equilibrio: dualità e gap spettrali*
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/83547578084
ID riunione: 835 4757 8084
Codice d’accesso: 873866
Vi aspettiamo numerosi!
Alberto Chiarini e Sonia Mazzucchi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RELATORI: Chiara Franceschini (Università di Modena e Reggio Emilia)
e Federico Sau (Università di Milano Statale)
TITOLO: Sistemi interagenti del non-equilibrio: dualità e gap spettrali
RIASSUNTO: In questo seminario verranno presentati alcuni modelli di
sistemi interagenti con spin sia discreti che continui. Tra gli esempi
principali figurano il modello di Kipnis-Marchioro-Presutti (1982) e il
processo armonico recentemente introdotto. Quando questi modelli sono
studiati su un reticolo unidimensionale in contatto con reservoir ai bordi,
costituiscono un setting classico per l’analisi di fenomeni tipici della
meccanica statistica fuori dall’equilibrio. Tutti i modelli considerati
sono associati alla Lie algebra su(1,1) e condividono diverse
caratteristiche strutturali, tra cui la proprietà di dualità.
Nella prima parte del seminario introdurremo il concetto di dualità per i
processi di Markov, illustrando come esso consenta di derivare limiti di
scala macroscopici (come l’equazione idrodinamica e i principi di grandi
deviazioni) e ottenere informazioni sulla misura stazionaria fuori
dall’equilibrio, esplicitamente nota solo per alcuni casi specifici.
Nella seconda parte prenderemo in esame modelli definiti anche su grafi
arbitrari, focalizzandoci sullo studio del gap spettrale e sulla
convergenza all’equilibrio.
Dear all,
On Monday, October 6, at 14h00 in Aula Dal Passo of Tor Vergata Math
Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host
Federico Bassetti (Politecnico di Milano) with the seminar
"Scaling Limits of Bayesian Neural Networks: Gaussian Processes and
Mixtures”
Abstract: In large neural networks, key theoretical insights emerge in
the infinite-width limit, where the number of neurons per layer grows
while depth stays fixed. In this regime, networks with
Gaussian-initialized weights define a mixture of Gaussian processes with
random covariance, which converges in the infinite-width limit to a pure
Gaussian process with deterministic covariance. However, this Gaussian
limit sacrifices descriptive power, as it lacks the ability to learn
dependent features and produce output correlations that reflect observed
labels. Motivated by these limitations, we explore deep linear networks
in the proportional limit, where both depth and width diverge at a fixed
ratio. In this setting, the network converges to a nontrivial Gaussian
mixture, both at the prior and posterior level. This structure allows
the network to capture dependencies in the outputs—an ability lost in
the infinite-width limit but retained in finite networks. Our
contribution extends previous works by explicitly characterizing, for
linear activation functions, the limiting distribution as a nontrivial
mixture of Gaussians.
The talk is based on
F. Bassetti, L. Ladelli, P. Rotondo. Proportional infinite-width
infinite-depth limit for deep linear neural networks (2024+)
https://arxiv.org/abs/2411.15267
Bassetti,F. Gherardi, M. Ingrosso, A. Pastore, M. Rotondo, P. Feature
learning in finite-width Bayesian deep linear networks with multiple
outputs and convolutional layers. Journal of Machine Learning Research
26 (2025) 1-35.
We encourage in-person partecipation. Should you be unable to come, here
is the link to the Teams streaming:
https://teams.microsoft.com/l/message/19:rfsL73KX-fw86y1YnXq2nk5VnZFwPU-iIP…
The seminar is part of the Excellence Project MatMod@TOV.
Gentilissimi/e,
Il Dipartimento di Scienze Statistiche dell'Università di Padova ha indetto
una selezione per esami al fine di reperire 1 Tecnologo di Ricerca di primo
livello (categoria stipendiale pari a EP1) da assumere mediante contratto
di lavoro a termine, a tempo pieno, per 24 mesi.
Il Tecnologo fornirà supporto tecnico al team di ricerca impegnato nel
progetto "*SPECOLA – Spatial Transcriptomics through the Lenses of
Statistical Modeling and AI*" finanziato dallo European Research Council
(ERC) e sarà chiamato a svolgere le seguenti attività:
- installazione, configurazione e manutenzione dei software necessari
all’analisi di dati biologici, quali ad esempio sequenze genomiche o
immagini di microscopia, nei server ad alte prestazioni (HPC);
- sviluppo, test e manutenzione di script e pacchetti software
open-source per l’analisi di dati biologici, inclusa la produzione di
binari e container;
- monitoraggio dell’utilizzo delle risorse informatiche, garantendo le
opportune misure di sicurezza e di prevenzione della perdita di dati;
- collaborazione con il team di sviluppatori principali del progetto
Bioconductor per la revisione, distribuzione, aggiornamento e manutenzione
del software;
- contribuzione alla redazione di documentazione tecnica e alla
scrittura di report e articoli scientifici che descrivano i risultati
ottenuti.
Per i dettagli sui requisiti richiesti e le modalità di selezione si rinvia
al bando: https://www.unipd.it/selezione-2025s48
La scadenza è fissata al *29 ottobre 2025 alle ore 14:00.*
Cordiali saluti,
Il Dipartimento di Scienze Statistiche
****
Dear all,
The Department of Statistical Sciences at the University of Padua has
launched the selection process to recruit a Research Technologist (salary
category EP1) with a full-time employment contract for 24 months.
The candidate will provide technical support to the research team involved
in the project "*SPECOLA – Spatial Transcriptomics through the Lenses of
Statistical Modeling and AI*" and will be responsible for the following
tasks:
- Installation, configuration, and maintenance of the software necessary
for the analysis of biological data, such as genomic sequences or
microscopy images, on high-performance computing (HPC) servers;
- Development, testing, and maintenance of open-source scripts and
software packages for biological data analysis, including the production of
binaries and containers;
- Monitoring the use of computing resources, ensuring appropriate
security measures and data loss prevention;
- Collaboration with the core development team of the Bioconductor
project for the review, distribution, update, and maintenance of software;
- Contribution to the drafting of technical documentation and to the
writing of reports and scientific articles describing the results achieved
For more details on the requirements and selection process please check the
call: https://www.unipd.it/selezione-2025s48
Application deadline *October 29, 2025, 14:00 CET. *
Kind regards,
The Department of Statistical Sciences
---
Ufficio Ricerca
Dipartimento di Scienze Statistiche
Università degli Studi di Padova
Tel. +39 049 827 4118
Dear colleagues,
We would like to send you a first announcement of the
INdAM Workshop
Probability Models in Mathematical Physics (PMMP) - integrability, asymptotics, and universality
Rome, 15-19 June 2026
The workshop has a broad scope from random matrices, integrable systems, operator and spectral theory, semiclassical analysis, combinatorics, including applications to quantum mechanics, disordered systems and related areas, all encompassed under the triple keyword 'integrability, asymptotics, and universality'.
The invited speakers are:
• Elena Agliari (Rome)
• Luca Avena (Florence)
• Marton Balazs (Bristol)
• Sung-Soo Byun* (Seoul)
• Elisabetta Candellero (Rome)
• Tom Claeys (Louvain-La-Neuve)
• Nilanjana Datta* (Cambridge)
• Nina Gantert (Munich)
• Cristian Giardinà (Modena and Reggio Emilia)
• Alessandro Giuliani* (Rome)
• Silvia Pappalardi* (Cologne)
• Thierry Paul* (Paris)
• Claude-Alain Pillet* (Toulon)
• Valentina Ros (Paris)
• Gregory Schehr (Paris)
• Roland Speicher* (Saarbrücken)
• Dario Trevisan (Pisa)
• Karol Zyczkowski (Krakow)
* To be confirmed
Further information is available on the website: https://sites.google.com/view/pmmp2026 .
Registration is free but mandatory through the web form at https://sites.google.com/view/pmmp2026/registration . Applicants can contribute a short talk or a poster. Some financial support to a limited number of young participants will be available. Applications can be submitted until January 31st, 2026, and will be reviewed in February 2026. Please note that the venue has a maximum capacity.
For enquiry please contact us at pmmp2026rome(a)gmail.com .
Best regards,
Elia Bisi
Fabio Deelan Cunden
Giovanni Gramegna
Marilena Ligabò
—————————
Elia Bisi
Assistant Professor (RTT)
University of Florence
Department of Mathematics & Computer Science
Personal homepage
Florence Probability group
Cari tutti,
trovate qui sotto l’annuncio per un posto molto attrattivo (per salario, durata ed ambiente scientifico) bandito presso l’Università di Parigi PSL.
Non esitate a diffonderlo e a segnalarlo ai vostri studenti più brillanti!
Grazie,
Cristina
-------------------------------
3-year Junior Research chairs, Statistical Physics and Mathematics, Paris Sciences et Lettres University
PSL university is awarding two Junior Research Chairs (three-year positions) as part of its research programme 'Statistical Physics and Mathematics'. This programme gathers physicists and mathematicians from three departments: CEREMADE at University Paris Dauphine – PSL, Department of Mathematics and Applications at Ecole normale supérieure – PSL, LPENS at Ecole normale supérieure – PSL.
Further details about the positions and the application procedure can be found here : https://academicjobsonline.org/ajo/jobs/30482
---------------------------------------------------------------------------------------------
Cristina Toninelli
Postal Address: Ceremade
Univ.Paris Dauphine
Place du Marechal de Lattre de Tassigny
75775 Paris Cedex 16 - France
Office: P207bis
--------------------------------------------------------------------------------------------
Dear all,
I'm happy to share, regards
Roberto Casarin
---------- Forwarded message ---------
Da: David Ardia <david.ardia(a)hec.ca>
Date: mar 30 set 2025 alle ore 15:44
Subject: Open position at HEC
To: Roberto CASARIN <r.casarin(a)unive.it>
Our Decision Sciences department is opening a tenure-track professor
position in financial engineering/mathematical finance/quantitative
finance.
It might be of interest to your students, colleagues/networks.
The department is really nice and the atmosphere is top-notch. It is
an ideal environment for researchers and teachers to thrive.
Additionally, Montréal is a lovely city that strikes a balance between
a European lifestyle and North American energy.
Please don't hesitate to contact me if you have any questions.
Thanks a lot!
David
JOB POST HERE https://tre.tbe.taleo.net/tre01/ats/careers/v2/viewRequisition?org=NYQEDG&c…
--
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/verahttps://www.unive.it/isba2024
Cari Colleghi,
vi segnalo il seguente seminario della serie dei MOX COLLOQUIA:
09.11.25 ore 14:00 - Aula Consiglio, Edificio 14, Politecnico di Milano
Speaker: Mark Girolami, University of Cambridge, Department of Engineering and The Alan Turing Institute
Titolo: Statistical Finite Element Methods
Abstract:
The finite element method (FEM) is one of the great triumphs of applied mathematics, numerical analysis and software development. Recent developments in sensor and signalling technologies enable the phenomenological study of complex natural and physical systems. The connection between sensor data and FEM has been restricted to solving inverse problems placing unwarranted faith in the fidelity of the mathematical description of the system under study. If one concedes mis-specification between generative reality and the FEM then a framework to systematically characterise this uncertainty is required. This talk will present a statistical construction of the FEM which systematically blends mathematical description with data observations by endowing the Hilbert space of FEM solutions with the additional structure of a Probability Measure. This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented during the talk.
Contatto:
laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
Il seminario sarà accessibile online:
https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2…https://cassyni.com/events/LTNPwiAikdgXq3b4oMwNvR
Per seguire il seminario in streaming, è necessario iscriversi (gratuitamente) sulla piattaforma Cassyni.
Seguirà rinfresco presso il Dipartimento di Matematica.
Cordiali 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
https://sangalli.faculty.polimi.it
Professorship for Stochastics
The Faculty of Engineering and Natural Sciences at the Johannes Kepler
University Linz invites applications for a permanent professorship position
under private law for a Professor of Stochastics to begin as soon as
possible. The appointment is in accordance with § 98 of the Austrian
Universities Act. An evaluation will be conducted after a five-year period.
The successful candidate is expected to head the Institute of Stochastics,
and represent and further develop research and teaching in the field of
Stochastics. Please see the job opening for a detailed job description
online at http://www.jku.at/professuren
--
________________________________
*My working hours may differ from yours, so feel free to respond at your
convenience*
Prof. Stefano Bonaccorsi
Direttore
Dipartimento di Matematica
Università di Trento
+39 0461 281621
Buongiorno a tutti,
On Tuesday 21st of October at the MEMOTEF Department, Sapienza University, we will have the pleasure to listen to the seminars of Prof Sara Geneletti<https://www.lse.ac.uk/statistics/people/sara-geneletti> and the PhD student Trevor Wrobleski<https://trevorwrobleski.github.io/> from the Department of Statistics of the London School of Economics and Political Science.
The seminars will take place 10-11am in Laboratorio Antonio Amato - Sala Corsi (on the third floor of Palazzina Presidenza, the staircase at the entrance of the Economics building, Via del Castro Laurenziano 9).
You can find titles and abstracts below.
Best wishes,
Francesca
Sara Geneletti
Bayesian interrupted time-series models and their applications on welfare and mental health
This talk is an overview of the research output of the Epitome project funded by the Wellcome Trust. The project involved 4 research streams, and we showcase results from each one of them. The main aims of this project were to a) understand the impact of Conservative government and their "austerity" policy which led to widespread cuts in social spending and b) to develop novel methodologies in the context of interrupted time series designs using Bayesian methods. Our project found that changes in welfare benefits had a detrimental effect on mental health which also had a spatial dimension, and that the impact of the "hostile environment policy", an anti-immigration policy on the mental health of African and Carribean communities was negative. We further extended the Bayesian Structural Time Series approach to accommodate multiple data points and confirmed the impact of the hostile environment policy using this alternative method. Finally, we developed a Cohort Markov Model to evaluate the impact of the welfare benefits change by looking at how it impacted different segments of the population.
Trevor Wrobleski
Robustness and Sensitivity in Bayesian Dose-Response Risk Assessment
Bayesian methods are increasingly central to toxicological risk assessment, yet their application to sparse dose-response data presents unique challenges. This presentation examines three drivers of analytical robustness: (i) the choice of likelihood for overdispersed quantal data, (ii) the inferential impact of selective dose-group deletion, and (iii) the sensitivity of results to prior specification. Using simulations and a case study of antimony trioxide carcinogenicity, we quantify the impact of these choices on benchmark dose (BMD) estimates and the posterior distribution, using metrics like Mean Squared Error and symmetrized Kullback-Leibler (KL) divergence. Our findings show that modeling overdispersion with a Beta-Binomial likelihood is important for accurate uncertainty quantification. We also demonstrate that deleting informative mid-range dose groups can degrade precision and shift inference. Finally, for the Dichotomous Hill model, the prior on the Hill coefficient is the dominant lever on the BMD, capable of inducing multi-fold changes in the risk estimate.
-------------------------------------------
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