Wow! eBook
Bayesian Decision Analysis: Principles and Practice
Author(s): Jim Q. Smith (Author)
- Publisher: Cambridge University Press
- Publication Date: 23 Sept. 2010
- Edition: Illustrated
- Language: English
- Print length: 300 pages
- ISBN-10: 0521764548
- ISBN-13: 9780521764544
Book Description
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.
