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...
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| Main Author | |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Cambridge ; New York :
Cambridge University Press,
2010.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780511860355 9780511857744 9780511856006 9780521764544 9780511856877 9780511779237 9786612941887 |
| Physical Description | 1 online zdroj (ix, 338 p.) : ill. |
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| 100 | 1 | |a Smith, J. Q., |d 1953- | |
| 245 | 1 | 0 | |a Bayesian decision analysis |h [elektronický zdroj] : |b principles and practice / |c Jim Q. Smith. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2010. | ||
| 300 | |a 1 online zdroj (ix, 338 p.) : |b ill. | ||
| 520 | |a "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"--Provided by publisher. | ||
| 504 | |a Includes bibliographical references (p. 322-334) and index. | ||
| 505 | 0 | |a 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. | |
| 590 | |a Knovel Library |b ACADEMIC - General Engineering & Project Administration | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Smith, J.Q., 1953- |t Bayesian decision analysis. |d Cambridge, UK ; New York : Cambridge University Press, 2010 |z 9780521764544 |w (DLC) 2010031690 |w (OCoLC)619125102 |
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