Bayesian Nonparametric Mixture Models: Methods and Applications (Hardcover)

Introduction. Dirichlet Process Mixture Models: Theory and Methods. Dirichlet Process Mixture Models: Posterior Inference. Nonparametric Mixture Methodology for Random Effects Distributions and Generalized Linear Models. Bayesian Nonparametric Mixture Modeling for Regression Settings. Dependent Nonparametric Mixture Models. Spatial and Spatio-Temporal Modeling with Dependent Nonparametric Priors. More General Nonparametric Mixture Models. Conclusions/Discussion.