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-
Corporate Author: Knovel (Firm)
Format: eBook
Language:English
Published: Cambridge ; New York : Cambridge University Press, 2010.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
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.
Item Description:Electronic resource.
Physical Description:1 online resource (ix, 338 pages) : illustrations
Bibliography:Includes bibliographical references (pages 322-334) and index.
ISBN:9780511860355
0511860358
9780511857744
0511857748
9780511856006
0511856008
0511856873
9780511856877
9780511779237
0511779232
9786612941887
661294188X