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On the rate of convergence in Wasserstein distance of the empirical measure

Probability theory and related fields, 2015-08, Vol.162 (3-4), p.707-738

2015

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Learning Rates of Deep Nets for Geometrically Strongly Mixing Sequence

IEEE transaction on neural networks and learning systems, 2024-03, Vol.PP, p.1-7

2024

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Cramér Moderate Deviation Expansion for Martingales with One-Sided Sakhanenko’s Condition and Its Applications

Journal of theoretical probability, 2020-06, Vol.33 (2), p.749-787

2020

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On some transformations of high dimension, low sample size data for nearest neighbor classification

Machine learning, 2016-01, Vol.102 (1), p.57-83

2016

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Almost sure central limit theorem for self-normalized partial sums of ρ−-mixing sequences

Statistics & probability letters, 2017-10, Vol.129, p.17-27

2017

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Hajek–Renyi-type inequality for (α,β)-mixing sequences and its application to change-point model

Journal of inequalities and applications, 2022-10, Vol.2022 (1), p.1-13, Article 130

2022

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On data depth in infinite dimensional spaces

Annals of the Institute of Statistical Mathematics, 2014-04, Vol.66 (2), p.303-324

2014

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A note on the Chover-type law of the iterated logarithm for the weighted partial sums of α-mixing sequences

Statistics & probability letters, 2015-12, Vol.107, p.150-156

2015

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Complete Convergence of Weighted Sums of ρ Mixing Sequences

Applied mechanics and materials, 2014-09, Vol.651-653, p.2134-2137

2014

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The Bahadur representation of sample quantiles for weakly dependent sequences

Stochastics (Abingdon, Eng. : 2005), 2016-04, Vol.88 (3), p.428-436

2016

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Equivalent conditions of complete moment convergence of weighted sums for ρ∗-mixing sequence of random variables

Statistics & probability letters, 2013-01, Vol.83 (1), p.13-20

2013

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Sensitivity of risk measures with respect to the normal approximation of total claim distributions

Insurance, mathematics & economics, 2011-11, Vol.49 (3), p.335-344

2011

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Further Study on the Marcinkiewicz Strong Laws for Linear Statistics of ρ-Mixing Sequences of Random Variables

Communications in statistics. Theory and methods, 2015-01, Vol.44 (1), p.125-134

2015

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On complete convergence for arrays of rowwise dependent random variables

Statistics & probability letters, 2007-06, Vol.77 (11), p.1050-1060

Kuczmaszewska, Anna

2007

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Effects of the mixing sequence on the graphite dispersion and resistance of lithium-ion battery anodes

Journal of colloid and interface science, 2022-11, Vol.625, p.136-144

2022

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A universal result in almost sure central limit theorem for products of sums of partial sums under mixing sequence

Stochastics (Abingdon, Eng. : 2005), 2016-08, Vol.88 (6), p.803-812

Zhang, Yong

2016

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Maximal inequality for ψ -mixing sequences and its applications

Applied mathematics letters, 2010-10, Vol.23 (10), p.1156-1161

2010

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Classification with non-i.i.d. sampling

Mathematical and computer modelling, 2011-09, Vol.54 (5), p.1347-1364

2011

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Rates of convergence in the central limit theorem for martingales in the non stationary setting

Annales de l'I.H.P. Probabilités et statistiques, 2022-05, Vol.58 (2)

2022

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Distributed Learning With Dependent Samples

IEEE transactions on information theory, 2022-09, Vol.68 (9), p.6003-6020

2022

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Strong convergence in nonparametric regression with truncated dependent data

Journal of multivariate analysis, 2009, Vol.100 (1), p.162-174

2009

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Spectral algorithms for learning with dependent observations

Journal of computational and applied mathematics, 2024-02, Vol.437, p.115437, Article 115437

2024

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Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability

Journal of mathematical analysis and applications, 2005-05, Vol.305 (2), p.644-658

2005

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On the strong law of large numbers for φ-mixing and ρ-mixing random variables

Acta mathematica Hungarica, 2011-07, Vol.132 (1-2), p.174-189

Kuczmaszewska, Anna

2011

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A ReMeDI for Microstructure Noise

Econometrica, 2022-01, Vol.90 (1), p.367-389

2022

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On the rate of convergence in Wasserstein distance of the empirical measure

Learning Rates of Deep Nets for Geometrically Strongly Mixing Sequence

Cramér Moderate Deviation Expansion for Martingales with One-Sided Sakhanenko’s Condition and Its Applications

On some transformations of high dimension, low sample size data for nearest neighbor classification

Almost sure central limit theorem for self-normalized partial sums of ρ−-mixing sequences

Hajek–Renyi-type inequality for (α,β)-mixing sequences and its application to change-point model

On data depth in infinite dimensional spaces

A note on the Chover-type law of the iterated logarithm for the weighted partial sums of α-mixing sequences

Complete Convergence of Weighted Sums of ρ Mixing Sequences

The Bahadur representation of sample quantiles for weakly dependent sequences

Equivalent conditions of complete moment convergence of weighted sums for ρ∗-mixing sequence of random variables

Sensitivity of risk measures with respect to the normal approximation of total claim distributions

Further Study on the Marcinkiewicz Strong Laws for Linear Statistics of ρ-Mixing Sequences of Random Variables

On complete convergence for arrays of rowwise dependent random variables

Effects of the mixing sequence on the graphite dispersion and resistance of lithium-ion battery anodes

A universal result in almost sure central limit theorem for products of sums of partial sums under mixing sequence

Maximal inequality for ψ -mixing sequences and its applications

Classification with non-i.i.d. sampling

Rates of convergence in the central limit theorem for martingales in the non stationary setting

Distributed Learning With Dependent Samples

Strong convergence in nonparametric regression with truncated dependent data

Spectral algorithms for learning with dependent observations

Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability

On the strong law of large numbers for φ-mixing and ρ-mixing random variables

A ReMeDI for Microstructure Noise

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