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Introduction to empirical processes and semiparametric inference

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Cover of 'Introduction to empirical processes and semiparametric inference'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 An Overview of Empirical Processes
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    Chapter 3 Overview of Semiparametric Inference
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    Chapter 4 Case Studies I
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    Chapter 5 Introduction to Empirical Processes
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    Chapter 6 Preliminaries for Empirical Processes
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    Chapter 7 Stochastic Convergence
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    Chapter 8 Empirical Process Methods
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    Chapter 9 Entropy Calculations
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    Chapter 10 Bootstrapping Empirical Processes
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    Chapter 11 Additional Empirical Process Results
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    Chapter 12 The Functional Delta Method
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    Chapter 13 Z-Estimators
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    Chapter 14 M-Estimators
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    Chapter 15 Case Studies II
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    Chapter 16 Introduction to Semiparametric Inference
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    Chapter 17 Preliminaries for Semiparametric Inference
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    Chapter 18 Semiparametric Models and Efficiency
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    Chapter 19 Efficient Inference for Finite-Dimensional Parameters
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    Chapter 20 Efficient Inference for Infinite-Dimensional Parameters
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    Chapter 21 Semiparametric M-Estimation
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    Chapter 22 Case Studies III
Attention for Chapter 17: Preliminaries for Semiparametric Inference
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