Citations (25)
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Li Wang & Qunying Wu. (2023) Complete integral convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations. Communications in Statistics - Theory and Methods 52:24, pages 8763-8784.
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Shunping Zheng, Fei Zhang, Chunhua Wang & Xuejun Wang. (2023) A general result on complete f-moment convergence with its application to nonparametric regression models. Stochastic Models 0:0, pages 1-29.
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Haiwu Huang, Yuan Yuan, Wei Wang & Hongguo Zeng. (2023) On complete moment convergence for the maximal weighted sums of NSD random variables. Communications in Statistics - Theory and Methods 0:0, pages 1-18.
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Chao Lu, Jibing Qi, Rui Wang & Xuejun Wang. (2022) Complete moment convergence for randomly weighted sums of negatively superadditive dependent random variables. Communications in Statistics - Simulation and Computation 0:0, pages 1-10.
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João Lita da Silva & Vanda Lourenço. (2022) Convergence of series of moments on general exponential inequality. Statistics 56:1, pages 73-96.
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Yi Wu, Fei Zhang & Xuejun Wang. (2020) Convergence properties for weighted sums of weakly dependent random vectors in Hilbert spaces. Stochastics 92:5, pages 716-731.
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Mi-Hwa Ko. (2020) A note on complete moment convergence for coordinatewise negatively associated random vectors in Hilbert spaces. Communications in Statistics - Theory and Methods 49:7, pages 1780-1791.
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Meiqian Chen, Kan Chen, Zijian Wang, Zhengliang Lu & Xuejun Wang. (2020) Complete moment convergence for partial sums of arrays of rowwise negatively superadditive dependent random variables. Communications in Statistics - Theory and Methods 49:5, pages 1158-1173.
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Haiwu Huang, Hang Zou & Qingxia Zhang. (2019) Equivalent conditions of the complete convergence for weighted sums of NSD random variables. Communications in Statistics - Theory and Methods 48:18, pages 4675-4689.
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Xuejun Wang, Yi Wu & Shuhe Hu. (2018) Complete moment convergence for double-indexed randomly weighted sums and its applications. Statistics 52:3, pages 503-518.
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Yang Ding, Xuefei Tang, Hui Wang & Xuejun Wang. (2017) Complete moment convergence of moving-average process generated by a class of random variables. Communications in Statistics - Theory and Methods 46:22, pages 10903-10913.
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Articles from other publishers (14)
Nan Cheng, Chao Lu, Jibing Qi & Xuejun Wang. (2021) Complete moment convergence for randomly weighted sums of extended negatively dependent random variables with application to semiparametric regression models. Statistical Papers 63:2, pages 397-419.
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Yi Wu, Xuejun Wang & Aiting Shen. (2020) Strong convergence properties for weighted sums of m-asymptotic negatively associated random variables and statistical applications. Statistical Papers 62:5, pages 2169-2194.
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C. Lu, X. J. Wang & Y. Wu. (2021) Complete Moment Convergence for the Dependent Linear Processes with Application to the State Observers of Linear-Time-Invariant Systems. Theory of Probability & Its Applications 65:4, pages 570-587.
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Chao Lu, Chao Lu, Xuejun J Wang, Xuejun J Wang, Yi Wu & Yi Wu. (2020) Complete moment convergence for the dependent linear processes with application to the state observers of linear-time-invariant systemsComplete moment convergence for the dependent linear processes with application to the state observers of linear-time-invariant systems. Теория вероятностей и ее применения Teoriya Veroyatnostei i ee Primeneniya 65:4, pages 725-745.
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Yuncai Yu, Xinsheng Liu, Ling Liu & Weisi Liu. (2019) On adaptivity of wavelet thresholding estimators with negatively super-additive dependent noise. Mathematica Slovaca 69:6, pages 1485-1500.
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Meimei Ge, Zexing Dai & Yongfeng Wu. (2019) On complete moment convergence for arrays of rowwise pairwise negatively quadrant dependent random variables. Journal of Inequalities and Applications 2019:1.
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Zhen Zeng & Xiangdong Liu. (2018) A difference-based approach in the partially linear model with dependent errors. Journal of Inequalities and Applications 2018:1.
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Yi Wu, Xuejun Wang & Soo Hak Sung. (2017) COMPLETE MOMENT CONVERGENCE FOR ARRAYS OF ROWWISE NEGATIVELY ASSOCIATED RANDOM VARIABLES AND ITS APPLICATION IN NON-PARAMETRIC REGRESSION MODEL. Probability in the Engineering and Informational Sciences 32:1, pages 37-57.
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Xuejun Wang, Yi Wu & Shuhe Hu. (2016) Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors. AStA Advances in Statistical Analysis 102:1, pages 41-65.
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Mi-Hwa Ko. (2017) The complete moment convergence for CNA random vectors in Hilbert spaces. Journal of Inequalities and Applications 2017:1.
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Habib Naderi, Mohammad Amini & Abolghasem Bozorgnia. (2017) On the rate of complete convergence for weighted sums of NSD random variables and an application. Applied Mathematics-A Journal of Chinese Universities 32:3, pages 270-280.
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Yi Wu, Xuejun Wang & Shuhe Hu. (2017) Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model. Statistics & Probability Letters 127, pages 56-66.
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Jian Han & Yu Xiang. (2016) Complete moment convergence of double-indexed randomly weighted sums of mixing sequences. Journal of Inequalities and Applications 2016:1.
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