Bo Cai

Modeling multivariate lattice data with Dirichlet process mixture spatial random effects

Abstract Many multivariate Bayesian spatial models for joint disease mapping assume Gaussian distributions for the spatial random effects, which can be restrictive when the true distributions are unknown. We develop a nonparametric Bayesian methodology that uses a Dirichlet process mixture prior to model spatial random...