Bayesian Decision Analysis

English

ISBN: 051185515X

EAN: 9780511855153

Category: Mathematics / Probability & Statistics / Bayesian Analysis

Publisher: Cambridge University Press

Release Date: 09/23/2010

Synopsis: 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.

Excerpt: Unknown Property Excerpt

Bayesian Decision Analysis

Illustrated: No

Format: eBook - PDF

Pages: 348