Self-Normalized Processes
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 Classical Limit Theorems, Inequalities and Other Tools
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Altmetric BadgeChapter 3 Self-Normalized Large Deviations
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Altmetric BadgeChapter 4 Weak Convergence of Self-Normalized Sums
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Altmetric BadgeChapter 5 Stein's Method and Self-Normalized Berry–Esseen Inequality
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Altmetric BadgeChapter 6 Self-Normalized Moderate Deviations and Laws of the Iterated Logarithm
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Altmetric BadgeChapter 7 Cramér-Type Moderate Deviations for Self-Normalized Sums
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Altmetric BadgeChapter 8 Self-Normalized Empirical Processes and U -Statistics
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Altmetric BadgeChapter 9 Martingale Inequalities and Related Tools
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Altmetric BadgeChapter 10 A General Framework for Self-Normalization
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Altmetric BadgeChapter 11 Pseudo-Maximization via Method of Mixtures
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Altmetric BadgeChapter 12 Moment and Exponential Inequalities for Self-Normalized Processes
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Altmetric BadgeChapter 13 Laws of the Iterated Logarithm for Self-Normalized Processes
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Altmetric BadgeChapter 14 Multivariate Self-Normalized Processes with Matrix Normalization
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Altmetric BadgeChapter 15 The t -Statistic and Studentized Statistics
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Altmetric BadgeChapter 16 Self-Normalization for Approximate Pivots in Bootstrapping
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Altmetric BadgeChapter 17 Pseudo-Maximization in Likelihood and Bayesian Inference
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Altmetric BadgeChapter 18 Sequential Analysis and Boundary Crossing Probabilities for Self-Normalized Statistics
