16-18 Oct 2024 Amsterdam (Netherlands)

Speakers

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): Estimating Posterior Model Probabilities via Bayesian Model Based Sampling
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 and Imperial College London): 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

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