Bayesian Decision Analysis: Principles and Practice
Bayesian Decision Analysis: Principles and Practice by Jim Q. Smith

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Author: Jim Q. Smith
Title: Bayesian Decision Analysis: Principles and Practice
ISBN: 0521764548
ISBN13: 978-0521764544
Other Formats: azw mobi txt mbr
Pages: 348 pages
Publisher: Cambridge University Press; 1 edition (November 15, 2010)
Language: English
Size PDF version: 1409 kb
Size EPUB version: 1460 kb
Category: Science & Math
Subcategory: Mathematics

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.

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