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Probabilistic Symmetries and Invariance Principles

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Cover of 'Probabilistic Symmetries and Invariance Principles'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Basic Symmetries
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    Chapter 3 Conditioning and Martingales
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    Chapter 4 Convergence and Approximation
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    Chapter 5 Predictable Sampling and Mapping
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    Chapter 6 Decoupling Identities
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    Chapter 7 Homogeneity and Reflections
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    Chapter 8 Symmetric Arrays
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    Chapter 9 Multi-variate Rotations
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    Chapter 10 Symmetric Measures in the Plane
Attention for Chapter 4: Convergence and Approximation
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