Agenda

9.00 Welcome Remarks

9.10 Keynote Lecture: Daniele Durante, Bocconi University - Bayesian Modelling of Criminal Networks

10.00 Coffee break

10.30 SESSION 1: Network Data

• Ovielt Baltodano Lopez, Ca’ Foscari University of Venice - A Dynamic Stochastic Block Model for Multidimensional Networks
• Matteo Iacopini, Luiss University - A Dynamic Latent Space Model for Matrix-valued Count Time Series
• Antonio Peruzzi, Ca’ Foscari University of Venice - Media Bias and Polarization through the Lens of a Markov Switching LS Network Model
• Lorenzo Schiavon, Ca’ Foscari University of Venice - Informed Order-Invariant Identifiability for Bayesian Factor Models

12.30 Lunch break

14.30 SESSION 2: High Dimensional Data

• Angela Andreella, Ca’ Foscari University of Venice - Inference on Multiple Quantiles in Regression Models by a Rank-score Approach
• Mattia Stival, Ca’ Foscari University of Venice - The Perceived Influences of Environment on Health in Italy: a Penalized Ordinal Regression Approach
• Emanuele Aliverti, University of Padua - Scalable Approximate Inference for Cumulative Regression Models
• Qing Wang, Ca’ Foscari University of Venice - Compressed Bayesian Tensor Regression

16.30 Coffee break

17.00 Keynote Lecture: Antonio Canale, University of Padua - Adaptive Partition Factor Analysis

17.50 Concluding Remarks

This is the ZOOM LINK to participate in the seminar