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November 2007 Bahadur–Kiefer theory for sample quantiles of weakly dependent linear processes
Rafał Kulik
Bernoulli 13(4): 1071-1090 (November 2007). DOI: 10.3150/07-BEJ6086

Abstract

In this paper, we establish the Bahadur–Kiefer representation for sample quantiles for a class of weakly dependent linear processes. The rate of approximation is the same as for i.i.d. sequences and is thus optimal.

Citation

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Rafał Kulik. "Bahadur–Kiefer theory for sample quantiles of weakly dependent linear processes." Bernoulli 13 (4) 1071 - 1090, November 2007. https://doi.org/10.3150/07-BEJ6086

Information

Published: November 2007
First available in Project Euclid: 9 November 2007

zbMATH: 1232.62073
MathSciNet: MR2364227
Digital Object Identifier: 10.3150/07-BEJ6086

Keywords: Bahadur representation , Empirical processes , Law of the iterated logarithm , linear processes , Sample quantiles , strong approximation

Rights: Copyright © 2007 Bernoulli Society for Mathematical Statistics and Probability

Vol.13 • No. 4 • November 2007
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