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Probabilistic Analysis of Belief Functions

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Cover of 'Probabilistic Analysis of Belief Functions'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Preliminaries on Axiomatic Probability Theory
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    Chapter 3 Probabilistic Model of Decision Making under Uncertainty
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    Chapter 4 Basic Elements of Dempster-Shafer Theory
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    Chapter 5 Elementary Properties of Belief Functions
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    Chapter 6 Probabilistic Analysis of Dempster Combination Rule
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    Chapter 7 Nonspecificity Degrees of Basic Probability Assignments
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    Chapter 8 Belief Functions Induced by Partial Compatibility Relations
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    Chapter 9 Belief Functions over Infinite State Spaces
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    Chapter 10 Boolean Combinations of Set-Valued Random Variables
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    Chapter 11 Belief Functions with Signed and Nonstandard Values
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    Chapter 12 Jordan Decomposition of Signed Belief Functions
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    Chapter 13 Monte-Carlo Estimations for Belief Functions
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    Chapter 14 Boolean—Valued and Boolean—Like Processed Belief Functions
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    Chapter 15 References
Attention for Chapter 7: Nonspecificity Degrees of Basic Probability Assignments
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