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Information and Complexity in Statistical Modeling

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Cover of 'Information and Complexity in Statistical Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Shannon-Wiener Information
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    Chapter 3 Coding of Random Processes
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    Chapter 4 Kolmogorov Complexity
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    Chapter 5 Stochastic Complexity
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    Chapter 6 Structure Function
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    Chapter 7 Optimally Distinguishable Models
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    Chapter 8 The MDL Principle
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    Chapter 9 Applications
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