9780521764544
Bayesian Decision Analysis - Principles And Practice - Jim Q. Smith
Cambridge University Press (2010)
In Collection
#6701

Read It:
Yes
Bayesian statistical decision theory, Business & Economics / Statistics, Mathematics / Probability & Statistics / Bayesian Analysis, Mathematics / Probability & Statistics / General

"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"--

Product Details
LoC Classification QA279.5 .S628 2010
Dewey 519.5/42
No. of Pages 349
Height x Width 260 mm