Understanding computational Bayesian statistics / William M. Bolstad.

Includes bibliographical references (pages 307-311) and index.

Front Matter -- Introduction to Bayesian Statistics -- Monte Carlo Sampling from the Posterior -- Bayesian Inference -- Bayesian Statistics Using Conjugate Priors -- Markov Chains -- Markov Chain Monte Carlo Sampling from Posterior -- Statistical Inference from a Markov Chain Monte Carlo Sample -- Logistic Regression -- Poisson Regression and Proportional Hazards Model -- Gibbs Sampling and Hierarchical Models -- Going Forward with Markov Chain Monte Carlo -- A: Using the Included Minitab Macros -- B: Using the Included R Functions -- References -- Topic Index -- Wiley Series in Computational Statistics.

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