Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models

Alex Kipnis, Marcel Binz, Eric Schulz

Hierarchical data is ubiquitous in the empirical sciences and most commonly analyzed with generalized linear mixed-effects models (GLMMs), which have interpretable parameters. Baye…