Bayesian Inference in Statistical Analysis

Bayesian Inference in Statistical Analysis

Author(s): George E.P. Box, George C. Tiao

Published Online: 25 JAN 2011 03:06PM EST

Print ISBN: 9780471574286

Online ISBN: 9781118033197

DOI: 10.1002/9781118033197

About this Book

Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.

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