Wednesday, October 19, 2022

Time Event (+)
09:00 - 09:30 Registration and opening  
09:30 - 11:30 Tutorial on Bayesian Hypothesis Testing in the Social Sciences: Rationale, Execution, and Interpretation - Eric-Jan Wagenmakers  
13:00 - 15:00 Tutorial on Bayesian Demography - Adrian Raftery  
15:30 - 17:30 Tutorial on Bayesian Analysis of Social Networks - Pierre Latouche  

Thursday, October 20, 2022

Time Event (+)
09:00 - 09:30 James Berger - The Empirical Error of P-values, E-values and Objective posterior probabilities  
09:30 - 10:00 Eric-Jan Wagenmakers - Approximate objective Bayes factors from p-Values and sample size: The 3p \sqrt{n} rule  
10:00 - 10:30 Zoltan Dienes - Using Bayes to severely test theories  
11:00 - 11:30 Pierre Latouche - Bayesian Statistics, AI, and networks for the analysis of the last French presidential election  
11:30 - 12:00 Nial Friel - Bayesian approaches for zero-inflated weighted networks  
12:00 - 12:30 Sophie Donnet - Bayesian inference for a Poisson Stochastic Blockmodel for weighted social networks  
14:00 - 14:30 Robin Ryder - Bayesian methods for Historical Linguistics  
14:30 - 15:00 Zita Oravecz - Bayesian inference for dynamical models of emotion  
15:00 - 15:30 Maarten Marsman - Structure learning of psychometric networks  
16:00 - 18:00 Poster session  

Friday, October 21, 2022

Time Event (+)
09:00 - 09:30 Adrian Raftery - Very long-term Bayesian population projections for climate assessment  
09:30 - 10:00 Peter Smith - A hierarchical Bayesian model for estimating European migration flows  
10:00 - 10:30 Arkadiusz Wisniowski - Using informative priors in estimating migration  
11:00 - 11:30 Brendan Murphy - Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel  
11:30 - 12:00 Julia Haaf - Testing Theories as Ordinal Constraint: A Bayes Factor Approach  
12:00 - 12:30 Joris Mulder - A latent variable approach for relational data with multiple receivers  
14:00 - 14:30 Monica Alexander - Jointly Estimating Subnational Mortality for Multiple Populations  
14:30 - 15:00 Jon Forster - Bayesian methods for mortality forecasting and backcasting  
15:00 - 15:30 Niamh Cahill - The use of family planning service statistics for informing estimates of projections of modern contraceptive prevalence  
16:00 - 16:30 Stéphane Robin - Tree-based mixture model for networks and epidemiology  
16:30 - 17:00 Tiago Peixoto - Disentangling homophily, community structure and triadic closure in networks  
17:00 - 17:30 Etienne Côme - Contiguity Constrained Bayesian Hierarchical Clustering: regularization path and dendrogram  
17:30 - 18:00 Andrew Gelman - How should Bayesian methods for the social sciences differ from Bayesian methods for the physical sciences?