Open Access
May 2008 On Berry–Esseen bounds for non-instantaneous filters of linear processes
Tsung-Lin Cheng, Hwai-Chung Ho
Bernoulli 14(2): 301-321 (May 2008). DOI: 10.3150/07-BEJ112

Abstract

Let $X_n=∑^∞_{i=1}a_iɛ_{n−i}$, where the $ɛ_i$ are i.i.d. with mean 0 and at least finite second moment, and the $a_i$ are assumed to satisfy $|a_i|=O(i^{−β})$ with $β>1/2$. When $1/2<β<1, X_n$ is usually called a long-range dependent or long-memory process. For a certain class of Borel functions $K(x_1, …, x_{d+1}), d≥0$, from ${\mathcal{R}}^{d+1}$ to $\mathcal{R}$, which includes indicator functions and polynomials, the stationary sequence $K(X_n, X_{n+1}, …, X_{n+d})$ is considered. By developing a finite orthogonal expansion of $K(X_n, …, X_{n+d})$, the Berry–Esseen type bounds for the normalized sum $Q_{N}/\sqrt{N}, Q_N=∑^N_{n=1}(K(X_n, …, X_{n+d})−\mathrm{E}K(X_n, …, X_{n+d}))$ are obtained when $Q_{N}/\sqrt{N}$ obeys the central limit theorem with positive limiting variance.

Citation

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Tsung-Lin Cheng. Hwai-Chung Ho. "On Berry–Esseen bounds for non-instantaneous filters of linear processes." Bernoulli 14 (2) 301 - 321, May 2008. https://doi.org/10.3150/07-BEJ112

Information

Published: May 2008
First available in Project Euclid: 22 April 2008

zbMATH: 1155.62064
MathSciNet: MR2544089
Digital Object Identifier: 10.3150/07-BEJ112

Keywords: Berry–Esseen bounds , linear processes , long memory , long-range dependence , non-instantaneous filters , rate of convergence

Rights: Copyright © 2008 Bernoulli Society for Mathematical Statistics and Probability

Vol.14 • No. 2 • May 2008
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