Measuring dependence in the Wasserstein distance for Bayesian nonparametric models

Overview
Bayesian nonparametric (BNP) models are a prominent tool for performing flexible inference with a natural quantification of uncertainty. Traditionallly, flexible inference within a homogeneous sample is performed with exchangeable models …