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 |
Invited speakers
Lucia Paci, Università Cattolica Milano
Model-Based Clustering of Categorical Data Based on the Hamming Distance 
Andrea Cremaschi, IE University
Dependent Dirichlet-Multinomial Processes with Random Number of Components
Bernardo Nipoti, Università degli Studi di Milano-Bicocca
A Bayesian nonparametric approach to discriminant analysis
Francesco Denti, Università degli Studi di Padova
BNP4BNP: Bayesian Nonparametric Models for Biomarkers and Neuronal Patterns
Laura Ventura , Università degli Studi di Padova
Objective Priors for Measures of Evidence
Samuel Pawel, University of Zurich
Closed-Form Power and Sample Size Calculations for Bayes Factors
Augusto Fasano, Università degli Studi di Torino
Filtering procedures for dynamic multinomial probit models
Federica Stolf, Duke University
Taxonomic and covariate-dependent feature allocation models
Andrea Tancredi, Sapienza Università di Roma
A Bayesian approach to capture-recapture models with misidentification
Beatrice Franzolini, Bocconi University
Multivariate species sampling models
Cecilia Viscardi, Università di Salerno
Full Bayesian Reinforcement Learning via LF-IBIS
Sirio Legramanti, Università degi Studi di Bergamo
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
Elena Bortolato, Universitat Pompeu Fabra
Sampling on constrained spaces
Dafne Zorzetto, Brown University
Multivariate Causal Effect: a Bayesian Regression Factor Model
Alessandro Mascaro, Universitat Pompeu Fabra
The I-MAP Parameterization of Gaussian DAG Models
Fabrizia Mealli, European University Institute
Evaluating causal effects on time-to-event outcomes in an RCT in oncology with treatment discontinuation
Claudio Busatto, Università degli Studi di Firenze
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior
Alejandra Avalos-Pacheco, JKU Linz
Bayesian inference of multiple Ising models for heterogeneous public opinion survey networks
Alessandro Colombi, Università degli Studi di Milano-Bicocca
Learning block structures in gaussian graphical models for spectrometric data analysis
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 |
| 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 |
Best poster Awards
Matteo Gianella for developing a new suitable methodology for an applied problemLaura Ferrini for developing an innovative methodology and thoroughly investigating its theoretical properties
Honorable mention
Andrea Ongarato for developing an interesting methodology with promising applications.Registration
The registration 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.
The registration is now closed.
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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