Bayesian decision analysis : principles and practice
"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...
Saved in:
| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cambridge ; New York :
Cambridge University Press,
2010.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780511860355 0511860358 9780511857744 0511857748 9780511856006 0511856008 0511856873 9780511856877 9780511779237 0511779232 9786612941887 661294188X 9780521764544 0521764548 |
| Physical Description | 1 online resource (ix, 338 pages) : illustrations |
Cover
Table of Contents:
- Foundations of decision modeling. Introduction
- Explanations of processes and trees
- Utilities and rewards
- Subjective probability and its elicitation
- Bayesian inference for decision analysis Multi-dimensional decision modeling. Multiattribute utility theory
- Bayesian networks
- Graphs, decisions and causality
- Multidimensional learning
- Conclusions.