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Bayesian decision analysis : principles and practice
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Smith, J. Q. (2010) Bayesian decision analysis : principles and practice. Cambridge, UK ; New York: Cambridge University Press. ISBN 9780521764544
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Official URL: http://webcat.warwick.ac.uk/record=b2334975
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 | ||||
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Divisions: | Faculty of Science > Statistics | ||||
Publisher: | Cambridge University Press | ||||
Place of Publication: | Cambridge, UK ; New York | ||||
ISBN: | 9780521764544 | ||||
Official Date: | 2010 | ||||
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Number of Pages: | 338 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published |
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