Tutorial sessions
Monica Alexander (Toronto): Bayesian demographic estimation
Maarten Marsman (Amsterdam): Bayesian graphical modelling
Robin Ryder (Paris-Dauphine): Modelling language change
Research talks
Bayesian model selection I
Merlise Clyde (Duke): Bayesian model averaging for the social sciences
Pierre Latouche (Université Clermont-Auvergne): The truncated mean harmonic estimator for marginal likelihood estimation in social sciences
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
Douglas Leasure (Oxford): Population nowcasting in a digital world to support humanitarian action and sustainable development
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): Bayesian stochastic ordered block models
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
Herbert Hoijtink (Utrecht): Bayesian evaluation of single case experimental designs
Adrian Raftery (University of Washington): Bayesian climate change assessment
Robin Ryder (Paris-Dauphine): Can Bayesian methods reconstruct deep language history?
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
