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Upper and Lower Bounds for Stochastic Processes

Overview of attention for book
Cover of 'Upper and Lower Bounds for Stochastic Processes'

Table of Contents

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    Book Overview
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    Chapter 1 Philosophy and Overview of the Book
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    Chapter 2 Gaussian Processes and the Generic Chaining
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    Chapter 3 Random Fourier Series and Trigonometric Sums, I
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    Chapter 4 Matching Theorems, I
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    Chapter 5 Bernoulli Processes
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    Chapter 6 Trees and the Art of Lower Bounds
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    Chapter 7 Random Fourier Series and Trigonometric Sums, II
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    Chapter 8 Processes Related to Gaussian Processes
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    Chapter 9 Theory and Practice of Empirical Processes
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    Chapter 10 Partition Scheme for Families of Distances
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    Chapter 11 Infinitely Divisible Processes
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    Chapter 12 The Fundamental Conjectures
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    Chapter 13 Convergence of Orthogonal Series; Majorizing Measures
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    Chapter 14 Matching Theorems, II: Shor’s Matching Theorem
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    Chapter 15 The Ultimate Matching Theorem in Dimension ≥3
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    Chapter 16 Applications to Banach Space Theory
Attention for Chapter 6: Trees and the Art of Lower Bounds
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