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Bibliographic Details

Title: Bayesian Decision Analysis: Principles and Practice
Publisher: Cambridge University Press
Publication Date: 2010
Language: English
ISBN 10: 0521764548
ISBN 13: 9780521764544
Binding: hardcover
Condition: Good

About this title

Synopsis

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.

About the Author

Jim Q. Smith is a Professor of Statistics at the University of Warwick.

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