Textbook (Hardcover - 2ND)
Textbook Information
Bayes and Empirical Bayes Methods for Data Analysis, Second Edition introduces Bayes and EB methods, demonstrates their usefulness in challenging applied settings, and shows how they can be implemented using modern Markov chain Monte Carlo computational methods. Welcomed by many, this new edition with its updated material continues to furnish practical solution methods to researchers with challenging problems, offering the same high quality as the bestselling first edition.
Describes Bayesian inference, performance of Bayes procedures, computation, model criticism & selection, etc.
For readers with a good masters-level understanding of mathematical statistics, Carlin (biostatistics, U. of Minnesota-Minneapolis) and Louis, a senior statistician with the RAND Corporation, explain the techniques, laying out the formal basis for them, evaluating their Bayes and frequentist properties, and showing how they can be implemented in complicated model settings. They have revised the 1996 edition to make it more easily used as a course textbook. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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