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Journal of Nonparametric Statistics Volume 31, 2019 - Issue 2
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On the rates of asymptotic normality for recursive kernel density estimators under ϕ-mixing assumptions

Mengmei XiSchool of Mathematical Sciences, Anhui University, Hefei, P.R. ChinaView further author information
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Xuejun WangSchool of Mathematical Sciences, Anhui University, Hefei, P.R. ChinaCorrespondence[email protected]
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Pages 340-363 | Received 14 Mar 2018, Accepted 30 Dec 2018, Published online: 16 Jan 2019

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Zhengliang Lu, Shengnan Ding, Fei Zhang, Rui Wang & Xuejun Wang. (2022) The consistency and convergence rate for the nearest neighbor density estimator based on -mixing random samples. Communications in Statistics - Theory and Methods 51:3, pages 669-684.
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Yan Wang, Xiaoqin Li, Ling Chen, Minghui Wang & Xuejun Wang. (2022) A note on the asymptotic properties of the estimators in a semiparametric regression model. Communications in Statistics - Simulation and Computation 51:2, pages 358-373.
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Articles from other publishers (2)

Dawei Lu & Lina Wang. (2020) On the Rates of Asymptotic Normality for Bernstein Polynomial Estimators in a Triangular Array. Methodology and Computing in Applied Probability 23:4, pages 1519-1536.
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Ling Peng & Dong Han. (2021) The Convergence Rate of High-Dimensional Sample Quantiles for φ-Mixing Observation Sequences. Mathematics 9:6, pages 647.
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