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Stochastic Models, Information Theory, and Lie Groups, Volume 2

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Cover of 'Stochastic Models, Information Theory, and Lie Groups, Volume 2'

Table of Contents

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    Book Overview
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    Chapter 1 Lie Groups I: Introduction and Examples
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    Chapter 2 Lie Groups II: Differential-Geometric Properties
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    Chapter 3 Lie Groups III: Integration, Convolution, and Fourier Analysis
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    Chapter 4 Variational Calculus on Lie Groups
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    Chapter 5 Statistical Mechanics and Ergodic Theory
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    Chapter 6 Parts Entropy and the Principal Kinematic Formula
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    Chapter 7 Multivariate Statistical Analysis and Random Matrix Theory
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    Chapter 8 Information, Communication, and Group Theory
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    Chapter 9 Algebraic and Geometric Coding Theory
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    Chapter 10 Information Theory on Lie Groups
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    Chapter 11 Stochastic Processes on Lie Groups
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    Chapter 12 Locomotion and Perception as Communication over Principal Fiber Bundles
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    Chapter 13 Summary
Attention for Chapter 3: Lie Groups III: Integration, Convolution, and Fourier Analysis
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