Probability in Banach Spaces, 9

Table of Contents

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   Book Overview
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   Chapter 1 Convergence A.S. of Rearranged Random Series in Banach Space and Associated Inequalities
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   Chapter 2 On the Rademacher Series
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   Chapter 3 On Separability of Families of Reversed Submartingales
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   Chapter 4 Sharp Exponential Inequalities for the Martingales in the 2-Smooth Banach Spaces and Applications to “Scalarizing” Decoupling
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   Chapter 5 Random Fractals Generated by Oscillations of Processes with Stationary and Independent Increments
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   Chapter 6 Some Generalized Martingales Arising from the Strong Law of Large Numbers
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   Chapter 7 Uniform Ergodic Theorems for Dynamical Systems Under VC Entropy Conditions
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   Chapter 8 GB and GC Sets in Ergodic Theory
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    Chapter 9 On the Central Limit Theorem for Multiparameter Stochastic Processes
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    Chapter 10 Une caractérisation des espaces de Fréchet nucléaires Processes
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    Chapter 11 A Weighted Central Limit Theorem for a Function-Indexed Sum with Random Point Masses
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    Chapter 12 On the Rate of Convergence in the CLT with Respect to the Kantorovich Metric
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    Chapter 13 Burgers’ Topology on Random Point Measures
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    Chapter 14 On the Topological Description of Characteristic Functionals in Infinite Dimensional Spaces
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    Chapter 15 Projective Systems in Large Deviation Theory II: Some Applications
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    Chapter 16 Some Large Deviation Results for Gaussian Measures
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    Chapter 17 A Remark on the Median and the Expectation of Convex Functions of Gaussian Vectors
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    Chapter 18 Comparison Results for the Small Ball Behavior of Gaussian Random Variables
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    Chapter 19 Some Remarks on the Berg-Kesten Inequality
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    Chapter 20 On Girsanov Type Theorem for Anticipative Shifts
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    Chapter 21 A Necessary Condition for the Continuity of Linear Functionals of Wick Squares
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    Chapter 22 Multiple Wiener-ITÔ Integral Processes with Sample Paths in Banach Function Spaces
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    Chapter 23 A Remark on Sudakov Minoration for Chaos
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    Chapter 24 On the Weak Bahadur-Kiefer Representation for M-Estimators
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    Chapter 25 Stochastic Differentiability in Maximum Likelihood Theory
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    Chapter 26 A Uniform Law of Large Numbers for Set-Indexed Processes with Applications to Empirical and Partial-Sum Processes
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    Chapter 27 Bahadur-Kiefer Approximation for Spatial Quantiles
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    Chapter 28 Maximum Spacing Estimates: A Generalization and Improvement on Maximum Likelihood Estimates I