Bayesian Theory: 533 (Wiley Series in Probability and Statistics) - Softcover

Bernardo, Jose

 
9780471494645: Bayesian Theory: 533 (Wiley Series in Probability and Statistics)
Softcover
ISBN 10: 047149464X ISBN 13: 9780471494645
Publisher: Wiley, 2000

Synopsis

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About the Author

About the Authors Jose M. Bernardo received his PhD from University College London and has subsequently been at the University of Valencia, Spain, where he is currently Professor of Statistics and special scientific advisor to the Governor of the State of Valencia. Adrian F. M. Smith received his PhD from University College London and is currently at Imperial College London, where he is Professor of Statistics and Head of the Department of Mathematics

From the Back Cover

This 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

From the Inside Flap

This 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

"About this title" may belong to another edition of this title.

Publisher
Wiley
Publication date
2000
Language
English
ISBN 10 
047149464X
ISBN 13 
9780471494645
Binding
Paperback
Edition number
1
Number of pages
612

Other Popular Editions of the Same Title

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Featured Edition

ISBN 10:  0471924164 ISBN 13:  9780471924166
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Hardcover