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Strategic Economic Decision-MakingUsing Bayesian Belief Networks to Solve Comple [推广有奖]

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xxka917 发表于 2013-12-15 13:11:42 |AI写论文

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(SpringerBriefs in Statistics 9)
Jeff Grover  (auth.)-
Strategic Economic Decision-Making
_ Using Bayesian Belief Networks to Solve Complex Problems
-Springer New York (2013)
(SpringerBriefs in Statistics 9) Jeff Grover (auth.)-Strategic Economic Decisio.pdf (1.22 MB, 需要: 20 个论坛币)


SSN 2191-544X ISSN 2191-5458 (electronic)
ISBN 978-1-4614-6039-8 ISBN 978-1-4614-6040-4 (eBook)
DOI 10.1007/978-1-4614-6040-4
Springer New York Heidelberg Dordrecht London
Library of Congress Control Number: 2012951657
# Springer Science+Business Media New York 2013
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publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for
any errors or omissions that may be made. The publisher makes no warranty, express or implied, with
respect to the material contained herein.
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
1 An Introduction to Bayes’ Theorem and Bayesian
Belief Networks (BBN) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1 Introduction to Bayes’ Theorem and BBN . . . . . . . . . . . . . . . . . 1
1.2 The Identification of the Truth. . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.3 The Motivation for This Book. . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 The Intent of This Book. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.5 The Utility of Bayes’ Theorem. . . . . . . . . . . . . . . . . . . . . . . . . 5
1.6 Inductive Verses Deductive Logic . . . . . . . . . . . . . . . . . . . . . . . 5
1.7 Popper’s Logic of Scientific Discovery . . . . . . . . . . . . . . . . . . . 6
1.8 Frequentist Verses Bayesian (Subjective) Views . . . . . . . . . . . . . 6
1.8.1 Frequentist to Subjectivist Philosophy . . . . . . . . . . . . . . . 6
1.8.2 Bayesian Philosophy . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2 A Literature Review of Bayes’ Theorem
and Bayesian Belief Networks (BBN) . . . . . . . . . . . . . . . . . . . . . . . 11
2.1 Introduction to the Bayes’ Theorem Evolution . . . . . . . . . . . . . . 11
2.1.1 Early 1900s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.1.2 1920s–1930s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.1.3 1940s–1950s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.1.4 1960s–Mid 1980s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.2 BBN Evolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.2.1 Financial Economics, Accounting,
and Operational Risks . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.2.2 Safety, Accident Analysis, and Prevention . . . . . . . . . . 15
2.2.3 Engineering and Safety . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2.4 Risk Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2.5 Ecology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.2.6 Human Behavior . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.2.7 Behavioral Sciences and Marketing. . . . . . . . . . . . . . . 16
vii
2.2.8 Decision Support Systems (DSS) with Expert
Systems (ES) and Applications, Information
Sciences, Intelligent Data Analysis, Neuroimaging,
Environmental Modeling and Software, and
Industrial Ergonomics . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.2.9 Cognitive Science . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.2.10 Medical, Health, Dental, and Nursing . . . . . . . . . . . . . . 18
2.2.11 Environmental Studies . . . . . . . . . . . . . . . . . . . . . . . . . 18
2.2.12 Miscellaneous: Politics, Geriatrics,
Space Policy, and Language and Speech . . . . . . . . . . . . 18
2.3 Current Government and Commercial Users of BBN . . . . . . . . . 19
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3 Statistical Properties of Bayes’ Theorem . . . . . . . . . . . . . . . . . . . . 29
3.1 Introduction to Statistical Terminology . . . . . . . . . . . . . . . . . . . 29
3.2 Bayes’ Theorem Proof . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
3.2.1 A Bayes’ Theorem Proof with Two Events,
A and B . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
3.2.2 A Step-by-Step Explanation of the Two
Event Bayes’ Theorem Proof . . . . . . . . . . . . . . . . . . . . . 30
3.2.3 A Bayes’ Theorem Proof with Three Events,
A, B, & C. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
3.2.4 Independence and Conditional Independence
Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
3.3 Statistical Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
3.3.1 Axioms of Probability . . . . . . . . . . . . . . . . . . . . . . . . . 32
3.3.2 Bayes’ Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
3.3.3 Combinations and Permutations . . . . . . . . . . . . . . . . . . 33
3.3.4 Conditional and Unconditional Probability . . . . . . . . . . 33
3.3.5 Counting, Countable and Uncountable Set . . . . . . . . . . . 34
3

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
4 Bayesian Belief Networks (BBN) Experimental Protocol . . . . . . . . 43
4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
4.2 BBN Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
4.3 Characteristics of a Random Experiment . . . . . . . . . . . . . . . . . . 43
4.4 Bayes’ Research Methodology . . . . . . . . . . . . . . . . . . . . . . . . . 44
4.5 Conducting a Bayesian Experiment . . . . . . . . . . . . . . . . . . . . . . 45
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
5 Manufacturing Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
5.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
5.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
5.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
5.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 53
5.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
6 Political Science Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
6.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
6.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
6.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
6.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 59
6.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
7 Gambling Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
7.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
7.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
7.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
7.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 65
7.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Contents ix
8 Publicly Traded Company Default Example . . . . . . . . . . . . . . . . . . 67
8.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
8.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
8.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
8.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 71
8.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
9 Insurance Risk Levels Example . . . . . . . . . . . . . . . . . . . . . . . . . . . 73
9.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73
9.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73
9.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
9.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 77
9.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
10.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
10.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
10.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83
10.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . 83
10.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 84
11 Currency Wars Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
11.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
11.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
11.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89
11.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . 89
11.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 90
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90
12 College Entrance Exams Example . . . . . . . . . . . . . . . . . . . . . . . . . 91
12.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
12.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91
12.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94
12.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . 95
12.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 95
13 Special Forces Assessment and Selection (SFAS)
One-Stage Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
13.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
13.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
13.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
13.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . 101
13.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 101
Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
x Contents
10 Acts of Terrorism Example . . . . . . . . . . . . . . . . . . . . . . . . . . 79 (AOT)
14 Special Forces Assessment and Selection (SFAS)
Two-Stage Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
14.1 Scenario . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
14.2 Experimental Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
14.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110
14.3.1 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . 110
14.3.2 Inverse Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . 111
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115
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