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International Journal of Computer Mathematics Volume 96, 2019 - Issue 4: A special collection of papers relating to optimization
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Original Article

Berry–Esseen bound of wavelet estimators in heteroscedastic regression model with random errors

Liwang DingSchool of Science, Nanjing University of Science and Technology, Nanjing, People's Republic of China;School of Information and Statistics, Guangxi University of Finance and Economics, Nanning, People's Republic of ChinaCorrespondence[email protected]
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,
Ping ChenSchool of Science, Nanjing University of Science and Technology, Nanjing, People's Republic of ChinaView further author information
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Yongming LiSchool of Mathematics and Computer Science, Shangrao Normal University, Shangrao, People's Republic of ChinaView further author information
Pages 821-852 | Received 08 Jan 2018, Accepted 06 Jun 2018, Published online: 18 Jul 2018

Citations (6)

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Read on this site (2)

Xingcai Zhou, Hao Shen, Beibei Ni & Yingzhi Xu. (2023) Wavelet-L1-estimation for non parametric location-scale models under a general dependence framework. Communications in Statistics - Theory and Methods 52:10, pages 3361-3381.
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Liwang Ding & Ping Chen. (2022) Uniform strong consistency of histogram density estimation for φ-mixing samples. Communications in Statistics - Simulation and Computation 0:0, pages 1-11.
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Articles from other publishers (4)

Xingcai Zhou, Guang Yang & Yu Xiang. (2022) Quantile-Wavelet Nonparametric Estimates for Time-Varying Coefficient Models. Mathematics 10:13, pages 2321.
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Xingcai Zhou & Fangxia Zhu. (2020) Asymptotics for $L_{1}$-wavelet method for nonparametric regression. Journal of Inequalities and Applications 2020:1.
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Yuncai Yu, Xinsheng Liu, Ling Liu & Mohamed Sief. (2020) The adaptivity of thresholding wavelet estimators in heteroscedastic nonparametric model with negatively super-additive dependent errors. Journal of the Korean Statistical Society 49:4, pages 1173-1194.
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Liwang Ding & Ping Chen. (2019) A note on the consistency of wavelet estimators in nonparametric regression model under widely orthant dependent random errors. Mathematica Slovaca 69:6, pages 1471-1484.
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