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Bayesian Decision Analysis: Principles and Practice PDF

350 Pages·2010·1.767 MB·English
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by Jim Q. Smith| 2010| 350 pages| 1.767| English

About Bayesian Decision Analysis: Principles and Practice

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.

Detailed Information

Author:Jim Q. Smith
Publication Year:2010
ISBN:9780521764544
Pages:350
Language:English
File Size:1.767
Format:PDF
Price:FREE
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