Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks

Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe +1

Neural density estimators have proven remarkably powerful in performing efficient simulation-based Bayesian inference in various research domains. In particular, the BayesFlow fram…