The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation
Publication year: 2007
ISBN: 978-0-387-71599-5
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This book covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration including Gibbs sampling, and other MCMC techniques.
Subject: Mathematics and Statistics, Probability Theory and Stochastic Processes, Statistical Theory and Methods, Bayesian decision theory, Bayesian inference, Estimator, Statistical testing and model choice, Variance, bayesian statistics, computational Bayesian statistics, decision theory, foundations of Bayesian statistics
