Bayesian Decision Analysis
Principles and Practice
eBook Features
-
Read Anywhere
Read your book anywhere, on any device, through RedShelf's cloud based eReader.
-
Digital Notes and Study Tools
Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration.
-
Offline Access
(
100% )
The publisher of this book allows a portion of the content to be used offline.
-
Printing
(
5%
)
The publisher of this book allows a portion of the content to be printed.
Additional Book Details
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.
Sold By | Cambridge University Press |
---|---|
ISBNs | 9780511855153, 9780521764544, 9780521764544 |
Language | eng |