Smith, J. Q. (2010) Bayesian decision analysis : principles and practice. Cambridge, UK ; New York: Cambridge University Press. ISBN 9780521764544

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Abstract

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.

Item Type:	Book
Divisions:	Faculty of Science > Statistics
Publisher:	Cambridge University Press
Place of Publication:	Cambridge, UK ; New York
ISBN:	9780521764544
Official Date:	2010
Dates:	Date Event 2010 Published
Number of Pages:	338
Status:	Peer Reviewed
Publication Status:	Published

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