Tutorial sessions
Monica Alexander (Toronto): Bayesian demographic estimation
Maarten Marsman (Amsterdam): Bayesian graphical modelling
Robin Ryder (Paris-Dauphine and Imperial College London): Modelling language change
Research talks
Bayesian model selection I
Merlise Clyde (Duke): Estimating Posterior Model Probabilities via Bayesian Model Based Sampling
Marie Perrot-Dockès (Université Paris Cité): Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator
Joris Mulder (Tilburg): An empirical Bayes factor for testing random effects
Demography
Monica Alexander (Toronto): Estimating Childlessness by Age and Race in the United States using a Bayesian Growth Curve Model
Leontine Alkema (University of Massachussetts): A Bayesian approach to modeling demographic transitions with application to subnational estimation and forecasting of family planning and fertility indicators
Andrea Aparicio Castro (Oxford): Bayesian nowcasting for subnational population estimation in conflict areas: Integrating multiple data sources
Estimation
Radu Craiu (Toronto): Bayesian Copula-based Latent Variable Models
Daniel Heck (Marburg): Bayesian Modeling of Uncertainty in Stepwise Estimation Approaches
Riccardo Rastelli (University College Dublin): A latent space model for multivariate time series analysis
Networks I
Daniele Durante (Bocconi): Bayesian modeling of criminal networks
Nial Friel (University College Dublin): The Clustered Mallows model
Maarten Marsman (Amsterdam): Bayesian Edge Selection for Psychometric Network (Graphical) Models
Bayesian model selection II
Marco Corneli (Université Côté d'Azur): A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures
Irene Klugkist (Utrecht): Bayesian Evidence Synthesis in the context of informative hypotheses
Eric-Jan Wagenmakers (Amsterdam): Optional Stopping
Other applications
Martin Metodiev (U Clermont Auvergne): A structured estimator for large covariance matrices in the presence of pairwise and spatial covariates
Adrian Raftery (University of Washington): Bayesian Forecasting of International Migration
Robin Ryder (Imperial College London): Ecological inference of voting patterns via Saddlepoint Monte Carlo
Networks II
François Caron (Oxford): Sparse Spatial Network Models for the analysis of mobility data
Geoff Nicholls (Oxford): Partial order models for social hierarchies and rank-order data
Amandine Véber (Université Paris Cité): Modelling expanding biological networks
