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José M. Bernardo - Bayesian Theory - 9780471494645 - V9780471494645
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Bayesian Theory

€ 91.34
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Description for Bayesian Theory Paperback. A controversial philosophical approach to statistics following the work of Rev Thomas Bayes (1701). To solve a problem or to make a decision, the Bayesian collects data from all possible theories and assigns a probability to them. This generates a prior distribution from which, workable parameters are determined and complex calculations are made. Series: Wiley Series in Probability and Statistics. Num Pages: 608 pages, illustrations. BIC Classification: PBKS; PBT; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 153 x 35. Weight in Grams: 900.
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 ... Read more

Product Details

Publication date
John Wiley and Sons Ltd United Kingdom
Number of pages
Wiley Series in Probability and Statistics
Number of Pages
Place of Publication
New York, United States
Shipping Time
Usually ships in 7 to 11 working days

About José M. Bernardo
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, ... Read more

Reviews for Bayesian Theory
"an excellent primary source for those who wish to learn about thelearning and decision process in a situation of uncertainty..."(Measurement Science Technology, February 2001) "an ideal source for all students and researchers in statisticsmathematics, decision analysis, economic and business studies andall branches of science and engineering who wish to further theirunderstanding of Bayesian statistics." (Zentralblatt Fur Didaktikder ... Read more

Goodreads reviews for Bayesian Theory

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