Requiring only a background in introductory statistics, calculus & matrix algebra, this text provides explanations of derivations & theories using a computationally oriented approach. It covers topics such as: MCMC algorithms, perfect sampling & Bayesian nonparametrics. It emphasizes R computing environment & Bugs simulation program.