Hidden Bibliographic Details
| ISBN: | 9780511860355
0511860358
9780511857744
0511857748
9780511856006
0511856008
0511856873
9780511856877
9780511779237
0511779232
9786612941887
661294188X
9780521764544
0521764548
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| Notes: | Includes bibliographical references (pages 322-334) and index.
Print version record.
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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
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| Other form: | Print version: Smith, J.Q., 1953- Bayesian decision analysis. Cambridge, UK ; New York : Cambridge University Press, 2010 9780521764544
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