List of speakers

Tutorial sessions by

Pierre Latouche (Paris Cité) -- Bayesian Social Network Analysis
Adrian Raftery (U Washington) -- Bayesian Demography
Eric-Jan Wagenmakers (Amsterdam) -- Bayesian Hypothesis Testing in the Social Sciences: Rationale, Execution, and Interpretation

Research talks by

Monica Alexander (Toronto) -- Jointly Estimating Subnational Mortality for Multiple Populations
Jim Berger (Duke) -- The Empirical Error of P-values, E-values and Objective posterior probabilities
Niamh Cahill (Maynooth, Dublin) -- The use of family planning service statistics for informing estimates of projections of modern contraceptive prevalence
Etienne Côme (IFSTTAR, France) -- Contiguity Constrained Bayesian Hierarchical Clustering: regularization path and dendrogram
Zoltan Dienes (Sussex) -- Using Bayes to severely test theories
Sophie Donnet (INRAE, France) -- Bayesian inference for a Poisson Stochastic Blockmodel for weighted social networks
Jon Forster (Warwick) -- Bayesian methods for mortality forecasting and backcasting
Nial Friel (UC Dublin) -- Bayesian approaches for zero-inflated weighted networks
Andrew Gelman (Columbia) -- How should Bayesian methods for the social sciences differ from Bayesian methods for the physical sciences?
Julia Haaf (Amsterdam) -- Testing Theories as Ordinal Constraint: A Bayes Factor Approach
Pierre Latouche (Paris Cité) -- Bayesian Statistics, AI, and networks for the analysis of the last French presidential election
Maarten Marsman (Amsterdam) -- Structure learning of psychometric networks
Joris Mulder (Tilburg) -- A latent variable approach for relational data with multiple receivers
Brendan Murphy (UC Dublin) -- Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
Zita Oravecz (Penn State) -- Bayesian inference for dynamical models of emotion
Tiago Peixoto (CEU, Vienna) -- Disentangling homophily, community structure and triadic closure in  networks
Adrian Raftery (U Washington) -- Very long-term Bayesian population projections for climate assessment
Stéphane Robin (Sorbonne U) -- Tree-based mixture model for networks and epidemiology
Robin Ryder (Paris Dauphine) -- Bayesian methods for Historical Linguistics
Peter Smith (Southampton) -- A hierarchical Bayesian model for estimating European migration flows
Eric-Jan Wagenmakers (Amsterdam) -- Approximate objective Bayes factors from p-Values and sample size: The 3p \sqrt{n} rule
Arkadiusz Wisniowski (Manchester) -- Using informative priors in estimating migration