Bayesian Methods

Requiring only a basic working knowledge of linear algebra and calculus, this text is one of the few to offer a graduate-level introduction to Bayesian statistics for social scientists. This second edition updates such topics as MCMC algorithms, perfect sampling, and Bayesian nonparametrics. It also includes various examples and exercise problems.