Bayesian decision analysis principles and practice

"Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic...

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Bibliographic Details
Main Author: Smith, J. Q., 1953-
Format: eBook
Language: English
Published: Cambridge ; New York : Cambridge University Press, 2010.
Subjects:
ISBN: 9780511860355
9780511857744
9780511856006
9780521764544
9780511856877
9780511779237
9786612941887
Physical Description: 1 online zdroj (ix, 338 p.) : ill.

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Summary: "Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence diagrams and causal Bayesian networks. The author demonstrates when and how the theory can be successfully applied to a given decision problem, how data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be implemented. Evolving from a third-year undergraduate course taught by the author over many years, all of the material in this book will be accessible to a student who has completed introductory courses in probability and mathematical statistics"--Provided by publisher.
Bibliography: Includes bibliographical references (p. 322-334) and index.
ISBN: 9780511860355
9780511857744
9780511856006
9780521764544
9780511856877
9780511779237
9786612941887
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