|
A note on the Berry–Esseen bounds for $\rho$-mixing random variables and their application
C. Lu, W. Yu, R. L. Ji, H. L. Zhou, X. J. Wang School of Mathematical Sciences, Anhui University, Hefei, P.R. China
Abstract:
Recently, Wang and Hu [Theory Probab. Appl., 63 (2019),
pp. 479–499] established the Berry–Esseen bounds for $\rho$-mixing random
variables (r.v.'s) with the rate of normal approximation $O(n^{-1/6}\log n)$
by using the martingale method. In this paper, we establish some general
results on the rates of normal approximation, which include the corresponding
ones of Wang and Hu. The rate can be as high as $O(n^{-1/5})$ or
$O(n^{-1/4}\log^{1/2} n)$ under some suitable conditions. As applications, we obtain the Berry–Esseen bounds of sample quantiles based on $\rho$-mixing
random samples. Finally, we also present some numerical simulations to
demonstrate finite sample performances of the theoretical result.
Keywords:
Berry–Esseen bound, asymptotic normality, nonparametric regression model, $\rho$-mixing random variables, sample quantiles.
Received: 27.10.2020 Revised: 20.07.2021 Accepted: 12.10.2021
Published: 22.07.2022
Citation:
C. Lu, W. Yu, R. L. Ji, H. L. Zhou, X. J. Wang, “A note on the Berry–Esseen bounds for $\rho$-mixing random variables and their application”, Teor. Veroyatnost. i Primenen., 67:3 (2022), 519–540; Theory Probab. Appl., 67:3 (2022), 415–433
Linking options:
https://www.mathnet.ru/eng/tvp5450https://doi.org/10.4213/tvp5450 https://www.mathnet.ru/eng/tvp/v67/i3/p519
|
|