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Bayesian Theory by Jose M. Bernardo
Book DescriptionThis highly acclaimed text, now available in paperback, provides a thorough account of key 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 of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging 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. The book will be an ideal source 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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Book DetailsISBN: 9780471494645
(228mm x 158mm x 37mm)
Imprint: John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
Publish Date: 28-Mar-2000
Country of Publication: United Kingdom
Books By Author Jose M. Bernardo
Bayesian Statistics, Hardback (October 2011)» View all books by Jose M. Bernardo
Bayesian Statistics 9 covers the latest and last of the Valencia International Meetings on Bayesian Statistics. These proceedings include twenty-three edited and refereed paper followed by extensive and in-depth discussion, offering a wide perspective on the developments in Bayesian statistics over the last four years.
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