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Thursday, 21 may 2026
Thursday, 21 may 2026
10:00 - 11:30 — Torino City Tour w/ Filippo Ascolani
13:30 - 14:00 — Registration
14:00 - 14:30 — Welcome
14:30 - 15:50 — Invited Session: Modern computational strategies for complex statistical inference
Chair: Matteo Gianella
Speakers:
Jacopo Tarantino (University of Warwick)
RandCNN-Parareal: a time-parallel PDE solver using random convolutional neural networksSimone Panzeri (Politecnico di Milano)
Physics-informed statistical learning on non-standard spatial domains with fdaPDEAlessandro Marchetti (Università di Torino)
An approximate Pólya-Gamma Gibbs sampler for Bayesian Poisson regressionLaura Battaglia (University of Oxford)
Variational predictive resampling
15:50 - 16:20 — Coffee Break
16:20 - 17:40 — Invited Session: Research perspectives from Statistics Initiative and ESOMAS department: inference on time series through diffusion
Chair: Alice Giampino
Speakers:
Jaromir Sant (Universidad Carlos III de Madrid)
Gamma duality and a tractable transition density for the Wright-Fisher diffusion with selectionMarco dalla Pria (Università di Torino)
Tracking diversity in timeFrancesco Furlan (Università di Torino)
Scalable computation of Fleming–Viot filtering and smoothing weights with Gibbs samplingYlenia Francesca Buttigliero (Università di Torino)
Bayesian bootstrap beyond observation times
17:40 - 19:30 — Poster Session & Light Aperitivo
FRIDAY, 22 MAY 2026
FRIDAY, 22 MAY 2026
9:00 - 10:20 — Invited Session: Methodological advances in demography and social statistics
Chair: Rocco Mazza
Speakers:
Erika Banzato (Università di Padova)
Sex-specific patterns in multimorbidity networks: a differential network approachErika Dicorato (Università degli Studi di Bari Aldo Moro)
Foreign residents effect on population ageing assessment over space and timeAmin Gino Fabbrucci Barbagli (Università degli Studi di Trieste)
Modeling networks of tripartite hyperevents using the relational hyperevent modelErika Grammatica (Università di Brescia)
Mapping the progress of gender equality in the EU: a multidimensional longitudinal approach through dynamic clustering
10:20 - 10:50 — Coffee Break
10:50 - 11:50 — Keynote Session: Francesca Romana Crucinio
Speaker: Francesca Romana Crucinio (Università di Torino & Collegio Carlo Alberto)
Chair: Alice Giampino
Title: Particle methods for empirical Bayes
Abstract: Latent variable models are widely used to describe complex data, but learning their parameters is challenging because it requires integrating over unobserved variables. Empirical Bayes offers a practical solution by estimating model parameters through marginal likelihood maximization, typically using the expectation–maximization (EM) algorithm. However, EM relies on alternating updates and can struggle when posterior distributions are difficult to compute. In this talk, we present a different perspective that treats parameter estimation and posterior inference as a single optimization problem. This viewpoint leads naturally to a class of algorithms where we update both the parameters and our approximation of the latent variable distribution simultaneously. To make this approach practical, we use particle methods to represent the evolving posterior. In particular, we explore two complementary strategies. The first relies on gradient-based sampling using Langevin dynamics, leading to simple algorithms such as the Unadjusted Langevin Algorithm (ULA), which efficiently approximates the posterior when gradients are available. The second uses importance sampling based on Fisher–Rao geometry, which is more flexible and can handle settings where gradients are unavailable or the latent variables are discrete. This combination results in a flexible framework that works across a wide range of models, including those with discrete or non-differentiable latent variables where standard gradient-based methods are not applicable. We illustrate the approach on several examples, showing improved convergence over EM and competitive performance with existing methods. Overall, the proposed framework provides an intuitive and versatile way to combine optimization and sampling for empirical Bayes inference.
11:50 - 13:10 — Invited Session: Network analysis: theory, methods, and applications
Chair: Martina Amongero
Speakers:
Giulia Bertagnolli (Libera Università di Bolzano)
Statistical data depths for network centrality and beyondSara Geremia (Università degli Studi di Trieste)
Community-level core-periphery structures in co-authorship networksNoemi Corsini (University of Cambridge)
A Bayesian latent space approach for modeling social influence on binary outcomesFrancesco Gaffi (Università degli Studi di Bergamo)
Exchangeable random permutations with an application to Bayesian graph matching
13:10 - 14:30 — Lunch
14:30 - 16:00 — Mentoring Session: PhD, Post-Doc, Tenure Track: how the academic career works in Italy
Speakers: Enrico Cofler, Davide Angelini (ADI)
Abstract: During this talk, ADI (the Association of PhD Students and PhD Holders in Italy) will present a practical guide to academic careers in Italy from the PhD until the Tenure Track, explaining in particular the changes introduced by the recent university reforms. After a brief introduction covering ADI's structure, its current activities and past achievements, the core of the talk explains how the post-doctoral landscape changed with the 2022 and 2025 reforms, comparing the pre-2022 career path with the new framework of contractual instruments, detailing each one's duration, eligibility, pay, and legal protections. It situates these changes within a context of chronic underfunding, documenting Italy's persistent spending gap with the rest of Europe, the limited scope of the 2026 Budget Law's recruitment plan, and the uncertainties linked to the ongoing reform of the ASN.
16:00 - 16:30 — Coffee Break
16:30 - 17:50 — Invited Session: Longitudinal data and survival analysis in medical contexts
Chair: Giulia Capitoli
Speakers:
Salvatore Battaglia (Università degli Studi di Palermo)
A changepoint-based Cox model for interpretable time-varying covariate effectsDaniele Giardiello (Università degli Studi di Milano-Bicocca)
Dynamic prediction methods and prediction performance assessment using landmarking with an application in traumatic brain injuryNiccolò Cao (Alma Mater Studiorum - Università di Bologna)
Joint modelling mixed-type multivariate longitudinal data and a time-to-event outcome: an application to ROI datasetAlessandra Ragni (Politecnico di Milano)
Evaluating treatment effects for recurrent events with terminal events: estimating the patient-weighted while-alive estimand
17:50 - 18:00 — Closing Remarks
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