MAXIMAL INEQUALITIES AND AN APPLICATION UNDER A WEAK DEPENDENCE

- Journal title : Journal of the Korean Mathematical Society
- Volume 53, Issue 1, 2016, pp.57-72
- Publisher : The Korean Mathematical Society
- DOI : 10.4134/JKMS.2016.53.1.057

Title & Authors

MAXIMAL INEQUALITIES AND AN APPLICATION UNDER A WEAK DEPENDENCE

HWANG, EUNJU; SHIN, DONG WAN;

HWANG, EUNJU; SHIN, DONG WAN;

Abstract

We establish maximal moment inequalities of partial sums under -weak dependence, which has been proposed by Doukhan and Louhichi [P. Doukhan and S. Louhichi, A new weak dependence condition and application to moment inequality, Stochastic Process. Appl. 84 (1999), 313-342], to unify weak dependence such as mixing, association, Gaussian sequences and Bernoulli shifts. As an application of maximal moment inequalities, a functional central limit theorem is developed for linear processes with -weakly dependent innovations.

Keywords

weak dependence;maximal moment inequality;linear process;functional central limit theorem;

Language

English

Cited by

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