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So far, Altmetric has seen
this research output assigned in 2 syllabi from 1 institutions on Open Syllabus Project.
Empirical Process Techniques for Dependent Data
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Empirical Process Techniques for Dependent Data
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Altmetric BadgeChapter 2 Weak Dependence: Models and Applications
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Altmetric BadgeChapter 3 Maximal Inequalities and Empirical Central Limit Theorems
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Altmetric BadgeChapter 4 On Hoeffding’s Inequality for Dependent Random Variables
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Altmetric BadgeChapter 5 On the Coupling of Dependent Random Variables and Applications
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Altmetric BadgeChapter 6 Empirical Processes of Residuals
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Altmetric BadgeChapter 7 Asymptotic Expansion of the Empirical Process of Long Memory Moving Averages
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Altmetric BadgeChapter 8 The Reduction Principle for the Empirical Process of a Long Memory Linear Process
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Altmetric BadgeChapter 9 Distributional Limit Theorems for Empirical Processes Generated by Functions of a Stationary Gaussian Process
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Altmetric BadgeChapter 10 Empirical Spectral Processes and Nonparametric Maximum Likelihood Estimation for Time Series
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Altmetric BadgeChapter 11 Empirical Processes Techniques for the Spectral Estimation of Fractional Processes
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Altmetric BadgeChapter 12 Tail Empirical Processes Under Mixing Conditions
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Altmetric BadgeChapter 13 On the Bootstrap and Empirical Processes for Dependent Sequences
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Altmetric BadgeChapter 14 Frequency Domain Bootstrap for Time Series