ABSTRACT
In this chapter we consider two classes of complex models: two-level variance component models and finite mixture models. These models require in general iterative Markov chain Monte Carlo (MCMC) methods to obtain the necessary posterior distributions for the model parameters and likelihood or deviance. There are extensive discussion of these methods in many texts, for example, Robert and Casella (1999).
