Bayesian Decision Analysis : Principles and Practice PDF
by Jim Q. Smith
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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.
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- Format:PDF
- Publisher:Cambridge University Press
- Publication Date:23/09/2010
- Category:
- ISBN:9780511855153
Information
-
Download Now
- Format:PDF
- Publisher:Cambridge University Press
- Publication Date:23/09/2010
- Category:
- ISBN:9780511855153