Amortized Bayesian Inference for Computational Models of Cognition and Behavior

This research advances Bayesian inference for the analysis of complex and large-scale human data. Computational models are highly influential across the behavioral sciences. Many complex models, however, are beyond the reach of traditional statistical methods or demand unreasonably high computational costs. This project provides researchers with a…