Understanding predictive information criteria for Bayesian models

Andrew Gelman, Jessica Hwang, Aki Vehtari

We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a…