UB Paderborn / Katalog / Suche / in CDI

Tactics analysis and evaluation of women football team based on convolutional neural network

Scientific reports, 2024-01, Vol.14 (1), p.255-255, Article 255

2024

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The Limit Properties of Maxima of Stationary Gaussian Sequences Subject to Random Replacing

Mathematics (Basel), 2023-07, Vol.11 (14), p.3155

2023

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The limit theorems on extreme order statistics and partial sums of i.i.d. random variables

Open mathematics (Warsaw, Poland), 2024-08, Vol.22 (1), p.pp. 81-92

2024

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Extremes of a Type of Locally Stationary Gaussian Random Fields with Applications to Shepp Statistics

Journal of theoretical probability, 2020-12, Vol.33 (4), p.2258-2279

2020

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Extreme Behavior of Competing Risks with Random Sample Size

Axioms, 2024-08, Vol.13 (8), p.568

2024

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Extremes of Shepp statistics for fractional Brownian motion

Science China. Mathematics, 2015-08, Vol.58 (8), p.1779-1794

2015

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On the maxima of non stationary random fields subject to missing observations

Communications in statistics. Theory and methods, 2024-09, Vol.53 (18), p.6339-6361

2024

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Almost Sure Asymptotics for Extremes of Non-stationary Gaussian Random Fields

Chinese annals of mathematics. Serie B, 2014, Vol.35 (1), p.125-138

2014

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On the limit properties of the last exit time and the first crossing point for the stationary dependent chi-sequences

Communications in statistics. Theory and methods, 2023-02, Vol.52 (4), p.1237-1250

2023

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Point processes of exceedances by Gaussian random fields with applications to asymptotic locations of extreme order statistics

Statistics & probability letters, 2022-10, Vol.189, p.109593, Article 109593

2022

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The extremes of dependent chi-processes attracted by the Brown-Resnick process

Acta mathematica scientia, 2024-03, Vol.44 (2), p.686-701

2024

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Asymptotics of maxima and sums for a type of strongly dependent isotropic Gaussian random fields

Communications in statistics. Theory and methods, 2018-10, Vol.47 (20), p.5013-5028

Tan, Zhongquan

2018

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Limit laws on extremes of nonhomogeneous Gaussian random fields

Journal of applied probability, 2017-09, Vol.54 (3), p.811-832

Tan, Zhongquan

2017

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Almost sure central limit theorem for the location and height of extreme order statistics and high values

Communications in statistics. Theory and methods, 2021-04, Vol.50 (8), p.1897-1910

2021

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Almost sure convergence for non-stationary random sequences

Statistics & probability letters, 2009-04, Vol.79 (7), p.857-863

2009

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On Piterbarg's max-discretisation theorem for homogeneous Gaussian random fields

Journal of mathematical analysis and applications, 2015-09, Vol.429 (2), p.969-994

2015

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Almost sure limit theorems for the maxima of stochastic volatility models

Stochastics (Abingdon, Eng. : 2005), 2021-05, Vol.93 (4), p.513-527

2021

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Asymptotics for the Solutions to Defective Renewal Equations

Abstract and Applied Analysis, 2014-01, Vol.2014, p.1-5

2014

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Almost sure central limit theorems for the maxima of Gaussian functions

Communications in statistics. Theory and methods, 2022-10, Vol.51 (20), p.7136-7147

2022

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Exact asymptotics and limit theorems for supremum of stationary χ-processes over a random interval

Stochastic processes and their applications, 2013-08, Vol.123 (8), p.2983-2998

2013

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On the maxima and sums of homogeneous Gaussian random fields

Statistics & probability letters, 2017-06, Vol.125, p.44-54

2017

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An almost sure limit theorem for the maxima of smooth stationary Gaussian processes

Statistics & probability letters, 2013-09, Vol.83 (9), p.2135-2141

Tan, Zhongquan

2013

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Limit theorem on the pointwise maxima of minimum of vector-valued Gaussian processes

Statistics & probability letters, 2021-09, Vol.176, p.109137, Article 109137

2021

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Almost Sure Central Limit Theorem for Partial Sums of Markov Chain

Chinese annals of mathematics. Serie B, 2012, Vol.33 (1), p.73-82

2012

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On Piterbarg’s max-discretisation theorem for multivariate stationary Gaussian processes

Journal of mathematical analysis and applications, 2014-01, Vol.409 (1), p.299-314

2014

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Tactics analysis and evaluation of women football team based on convolutional neural network

The Limit Properties of Maxima of Stationary Gaussian Sequences Subject to Random Replacing

The limit theorems on extreme order statistics and partial sums of i.i.d. random variables

Extremes of a Type of Locally Stationary Gaussian Random Fields with Applications to Shepp Statistics

Extreme Behavior of Competing Risks with Random Sample Size

Extremes of Shepp statistics for fractional Brownian motion

On the maxima of non stationary random fields subject to missing observations

Almost Sure Asymptotics for Extremes of Non-stationary Gaussian Random Fields

On the limit properties of the last exit time and the first crossing point for the stationary dependent chi-sequences

Point processes of exceedances by Gaussian random fields with applications to asymptotic locations of extreme order statistics

The extremes of dependent chi-processes attracted by the Brown-Resnick process

Asymptotics of maxima and sums for a type of strongly dependent isotropic Gaussian random fields

Limit laws on extremes of nonhomogeneous Gaussian random fields

Almost sure central limit theorem for the location and height of extreme order statistics and high values

Almost sure convergence for non-stationary random sequences

On Piterbarg's max-discretisation theorem for homogeneous Gaussian random fields

Almost sure limit theorems for the maxima of stochastic volatility models

Asymptotics for the Solutions to Defective Renewal Equations

Almost sure central limit theorems for the maxima of Gaussian functions

Exact asymptotics and limit theorems for supremum of stationary χ-processes over a random interval

On the maxima and sums of homogeneous Gaussian random fields

An almost sure limit theorem for the maxima of smooth stationary Gaussian processes

Limit theorem on the pointwise maxima of minimum of vector-valued Gaussian processes

Almost Sure Central Limit Theorem for Partial Sums of Markov Chain

On Piterbarg’s max-discretisation theorem for multivariate stationary Gaussian processes

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