| Bayesian Decision Analysis Contributor(s): Smith, Jim Q. (Author) |
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ISBN: 0521764548 ISBN-13: 9780521764544 Publisher: Cambridge University Press OUR PRICE: $71.24 Product Type: Hardcover - Other Formats Published: November 2010 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Mathematics | Linear & Nonlinear Programming |
| Dewey: 519.542 |
| LCCN: 2010031690 |
| Physical Information: 0.9" H x 6.9" W x 9.7" (1.80 lbs) 348 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
Contributor Bio(s): Smith, Jim Q.: - Jim Q. Smith is a Professor of Statistics at the University of Warwick. |