Description - Bayesian Theory by Jose M. Bernardo
This text, now available in paperback, provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance". Written from the authors' committed Bayesian perspective, this work includes an overview of non-Bayesian theories, and each chapter contains a critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. This text is a source of information for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics.
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(228mm x 158mm x 37mm)
John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
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