Nonparametric Bayes: A Bridge Between Cultures

Abstract

Abstract:In this commentary, we assess the cultural fit of Bayesian nonparametrics in light of advances in the field since Breiman's 2001 article. We argue that Bayesian nonparametrics synthesizes desirable elements of the data modeling and algorithmic cultures to yield new insights and methodological improvements. We discuss how these methods have been combined with identification strategies from the causal inference literature to do flexible inference for interpretable target parameters.