Bayesian Decision Analysis : Principles and Practice
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| Title: | Bayesian Decision Analysis : Principles and Practice |
|---|---|
| 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. |
| Authors: | Jim Q. Smith |
| Resource Type: | eBook. |
| Subjects: | Bayesian statistical decision theory |
| Categories: | MATHEMATICS / Probability & Statistics / Bayesian Analysis |
| Database: | eBook Collection (EBSCOhost) |
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