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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Bibliographic Details
Main Author: Smith, J. Q., 1953-
Format: eBook
Language: English
Published: Cambridge ; New York : Cambridge University Press, 2010.
Subjects:
Bayesian statistical decision theory.
elektronické knihy
electronic books
ISBN: 9780511860355
9780511857744
9780511856006
9780521764544
9780511856877
9780511779237
9786612941887
Physical Description: 1 online zdroj (ix, 338 p.) : ill.

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Table of contents

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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. 
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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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