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Information Bounds and Nonparametric Maximum Likelihood Estimation

Overview of attention for book
Cover of 'Information Bounds and Nonparametric Maximum Likelihood Estimation'

Table of Contents

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    Book Overview
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    Chapter 1 Models, Scores, and Tangent Spaces
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    Chapter 2 Convolution and Asymptotic Minimax Theorems
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    Chapter 3 Van der Vaart’s Differentiability Theorem
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    Chapter 4 The Interval Censoring Problem
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    Chapter 5 The Deconvolution Problem
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    Chapter 6 Algorithms
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    Chapter 7 Consistency
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    Chapter 8 Distribution Theory
Attention for Chapter 2: Convolution and Asymptotic Minimax Theorems
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