Bayesian Methods

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