SISBAYES 2025, Padova 4-5 September 2025 – Department of Statistical Sciences, University of Padova
About
The Second Workshop of the Italian Statistical Society group SISBayes will be held at the Department of Statistical Sciences of the University of Padova on the 4th-5th of September 2025.
The workshop serves as a platform to bring together experts and emerging researchers interested in Bayesian methods, fostering the exchange of ideas and advancements in both theoretical and applied Bayesian methods.
program
Scientific Program
Book of Abstract
Foundational Lectures
|
Guido Consonni |
Sonia Petrone |
Keynote Presentations
|
Serena Arima |
Tommaso Rigon |
Confirmed invited speakers
Lucia Paci, Università Cattolica Milano
Andrea Cremaschi, IE University
Bernardo Nipoti, Università degli Studi di Milano-Bicocca
Francesco Denti, Università degli Studi di Padova
Laura Ventura , Università degli Studi di Padova
Samuel Pawel, University of Zurich
Augusto Fasano, Università degli Studi di Torino
Federica Stolf, Duke University
Andrea Tancredi, Sapienza Università di Roma
Beatrice Franzolini, Bocconi University
Cecilia Viscardi, Università di Salerno
Sirio Legramanti, Università d Bergamo
Elena Bortolato, Universitat Pompeu Fabra
Dafne Zorzetto, Brown University
Alessandro Mascaro, Universitat Pompeu Fabra
Fabrizia Mealli, European University Institute
Claudio Busatto, Università degli Studi di Firenze
Alejandra Avalos-Pacheco, JKU Linz
Poster Session
| Name | Poster Title |
|---|---|
| Davide Agnoletto | Double covariate mean-covariance factor regression |
| Francesco Barile | Control Variate-based Stochastic Sampling from the Probability Simplex |
| Giulio Beltramin | A Bayesian nonparametric approach to multiview clustering |
| Frances Beresford | Modelling the Dynamics of Intrinsically Disordered Proteins in Equilibrium Using Hierarchical Infinite Dirichlet Mixtures of Exponential Family Random Graph Models |
| Massimo Bilancia | Beta-Liouville priors for Multinomial mixture models |
| Nicola Branchini | Revisiting self-normalized importance sampling: new methods and diagnostics |
| Ylenia Francesca Buttigliero | A non-informative prior for nonparametric inference on time series |
| Alessandro Carminati | Hierarchical Shot Noise Cox Process Mixture Models |
| Simone Colombara | Bayesian Multivariate Longitudinal Modeling of Metabolic Syndrome in Blood Donors |
| Riccardo Corradin | Autocompound Random Measures |
| Lea Anna Cozzucoli | Bayesian latent factor models for causal inference |
| Laura D'Angelo | Dependent Dirichlet processes via thinning |
| Marco Dalla Pria | Optimal filtering for 2-parameter Poisson-Dirichlet diffusions |
| Matteo Darienzo | Bayesian estimation of extreme sub-hourly precipitation with increasing temperature |
| Claudio Del Sole | A Bayesian nonparametric approach to the multi-armed bandit problem in traits allocation models |
| Laura Ferrini | Bayesian target discovery from categorical networks |
| Michela Frigeri | A Bayesian hierarchical model for air pollution source apportionment |
| Jacopo Gardella | Addressing Phase Discrepancies in Functional Data: A Bayesian Approach for Accurate Alignment and Smoothing |
| Samuele Garelli | Inference via mixture predictive distributions |
| Leonardo Genesin | A Bayesian Multi-Study Model for Sparse and Dense Latent Structure Discovery |
| Lorenzo Ghilotti | Bayesian nonparametric processes for clustering count data with potentially unobserved traits |
| Matteo Gianella | Bayesian nonparametric boundary detection for income areal data |
| Vincenzo Gioia | Bayesian Markov-Switching Model for Regional Heat Wave Detection |
| Roberto Macrì Demartino | Mixture priors for replication studies |
| Virginia Murru | Enhancing Interpretability in Constrained Latent Class Models: a novel approach |
| Nedka Dechkova Nikiforova | Optimal Bayesian designs, observational data, and utility functions: a new proposal |
| Andrea Ongarato | Cumulative Shrinkage Processes for Bayesian Multiresolution Functional Regression |
| Paolo Onorati | Posterior Computation for the Dirichlet-Laplace Prior |
| Anna Petranzan | The Gnedin model for biodiversity estimation |
| Luca Presicce | Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach |
| Luciano Rota | Modeling Spatio-Temporal Dynamics of Obesity in Italian Regions via Bayesian Beta Regresion |
| Lorenzo Schiavon | Topic-Informed Dynamic Mixture Model for Occupational Heterogeneity in Health Risk Behaviors |
| Goar Shaboian | Bayesian hierarchical modelling for multisite replication studies |
| Andrea Sottosanti | Bayesian Mapping of Mortality Clusters |
| Mattia Stival | Bayesian Inference for Multivariate Ordinal Data with Partially Ambiguous Items |
| Daniele Tancini | Advances in Bayesian hidden Markov models with intractable normalizing functions |
| Giovanni Toto | Bayesian Multivariate Density Regression with Coordinate-Wise Predictor Selection |
| Mehwish Zaman | Bayesian estimation of intensity duration frequency curves |
Registration
The registration fee includes admission to conference sessions, congress materials, coffee breaks, lunches, and poster session aperitif.| Early Bird* | Late | |
| Regular fee | €180 | €220 |
| SIS or ISBA member fee | €130 | €170 |
| Junior fee** | €70 | €70 |
** Junior fees apply to students, young researchers within five years of graduation, and individuals under 35 years old.
Organization
Scientific Committee
Raffaele Argiento (chair)Isadora Antoniano-Villalobos
Veronica Ballerini
Federico Camerlenghi
Antonio Canale
Federico Castelletti
Leonardo Egidi
Brunero Liseo
Organizing Committee
Antonio Canale (chair)Emanuele Aliverti
Francesco Denti
Stefano Rizzelli
Elena Guzzonato
With the support of
Endorsed by
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