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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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Cambridge ; New York :
Cambridge University Press,
2010.
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Subjects: | |
ISBN: | 9780511860355 0511860358 9780511857744 0511857748 9780511856006 0511856008 0511856873 9780511856877 9780511779237 0511779232 9786612941887 661294188X 9780521764544 0521764548 |
Physical Description: | 1 online resource (ix, 338 pages) : illustrations |
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 |
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Bibliography: | Includes bibliographical references (pages 322-334) and index. |
ISBN: | 9780511860355 0511860358 9780511857744 0511857748 9780511856006 0511856008 0511856873 9780511856877 9780511779237 0511779232 9786612941887 661294188X 9780521764544 0521764548 |
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