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Combinatorial Methods in Density Estimation

Overview of attention for book
Cover of 'Combinatorial Methods in Density Estimation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Concentration Inequalities
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    Chapter 3 Uniform Deviation Inequalities
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    Chapter 4 Combinatorial Tools
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    Chapter 5 Total Variation
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    Chapter 6 Choosing a Density Estimate
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    Chapter 7 Skeleton Estimates
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    Chapter 8 The Minimum Distance Estimate: Examples
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    Chapter 9 The Kernel Density Estimate
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    Chapter 10 Additive Estimates and Data Splitting
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    Chapter 11 Bandwidth Selection for Kernel Estimates
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    Chapter 12 Multiparameter Kernel Estimates
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    Chapter 13 Wavelet Estimates
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    Chapter 14 The Transformed Kernel Estimate
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    Chapter 15 Minimax Theory
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    Chapter 16 Choosing the Kernel Order
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    Chapter 17 Bandwidth Choice with Superkernels
Attention for Chapter 14: The Transformed Kernel Estimate
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