Bayesian Decision Analysis: Principles and Practice Contributor(s): Smith, Jim Q. (Author) |
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ISBN: 0511779232 ISBN-13: 9780511779237 Publisher: Cambridge University Press OUR PRICE: $213.75 Product Type: Open Ebook - Other Formats Published: June 2012 |
Additional Information |
BISAC Categories: - Mathematics | Linear & Nonlinear Programming |
Dewey: 519.542 |
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. |