Bayesian Decision Analysis - Principles and Practice (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	September 2010
First published:	September 2010
Authors:	Jim Q. Smith
Dimensions:	255 x 180 x 21mm (L x W x T)
Format:	Hardcover
Pages:	348
ISBN-13:	978-0-521-76454-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-521-76454-8
Barcode:	9780521764544

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