Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decisionproblems 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 toa 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.
- ISBN: 978-0-521-76454-4
- Editorial: Cambridge University
- Encuadernacion: Cartoné
- Páginas: 348
- Fecha Publicación: 01/09/2010
- Nº Volúmenes: 1
- Idioma: Inglés