Supporting Bayesian modeling workflows with iterative filtering for multiverse analysis
Statistical Modeling, Causal Inference, and Social Science 2024-10-21
Summary:
Anna Riha, Nikolas Siccha, Antti Oulasvirta, and Aki Vehtari write: When building statistical models for Bayesian data analysis tasks, required and optional iterative adjustments and different modelling choices can give rise to numerous candidate models. In particular, checks and evaluations … Continue reading →