Variance matrix priors for Dirichlet process mixture models with Gaussian kernels

Wei Jing, Michail Papathomas, Silvia Liverani

The Dirichlet Process Mixture Model (DPMM) is a Bayesian non-parametric approach widely used for density estimation and clustering. In this manuscript, we study the choice of prior…