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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2010.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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 |
| Beschreibung: | 1 online resource (ix, 338 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 322-334) and index. |
| ISBN: | 9780511860355 0511860358 9780511857744 0511857748 9780511856006 0511856008 0511856873 9780511856877 9780511779237 0511779232 9786612941887 661294188X |
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| 245 | 1 | 0 | |a Bayesian decision analysis : |b principles and practice / |c Jim Q. Smith. |
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| 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 (pages 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. | |
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| author | Smith, J. Q., 1953- |
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| 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. |
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| dewey-full | 519.5/42 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| discipline | Mathematik |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:17:39Z |
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| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Smith, J. Q., 1953- https://id.oclc.org/worldcat/entity/E39PCjMHbRrpVT6xPqyYRGBRXd http://id.loc.gov/authorities/names/n86119216 Bayesian decision analysis : principles and practice / Jim Q. Smith. Cambridge ; New York : Cambridge University Press, 2010. 1 online resource (ix, 338 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier "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 Includes bibliographical references (pages 322-334) and index. 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. Print version record. Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast Electronic books. has work: Bayesian decision analysis (Text) https://id.oclc.org/worldcat/entity/E39PCGdchhcr3R9WmVjQhWt83P https://id.oclc.org/worldcat/ontology/hasWork Print version: Smith, J.Q., 1953- Bayesian decision analysis. Cambridge, UK ; New York : Cambridge University Press, 2010 9780521764544 (DLC) 2010031690 (OCoLC)619125102 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=347827 Volltext |
| spellingShingle | Smith, J. Q., 1953- Bayesian decision analysis : principles and practice / 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. Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85012506 |
| title | Bayesian decision analysis : principles and practice / |
| title_auth | Bayesian decision analysis : principles and practice / |
| title_exact_search | Bayesian decision analysis : principles and practice / |
| title_full | Bayesian decision analysis : principles and practice / Jim Q. Smith. |
| title_fullStr | Bayesian decision analysis : principles and practice / Jim Q. Smith. |
| title_full_unstemmed | Bayesian decision analysis : principles and practice / Jim Q. Smith. |
| title_short | Bayesian decision analysis : |
| title_sort | bayesian decision analysis principles and practice |
| title_sub | principles and practice / |
| topic | Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. bisacsh Bayesian statistical decision theory fast |
| topic_facet | Bayesian statistical decision theory. Théorie de la décision bayésienne. MATHEMATICS Probability & Statistics Bayesian Analysis. Bayesian statistical decision theory Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=347827 |
| work_keys_str_mv | AT smithjq bayesiandecisionanalysisprinciplesandpractice |