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MAXIMAL INEQUALITIES AND AN APPLICATION UNDER A WEAK DEPENDENCE
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 Title & Authors
MAXIMAL INEQUALITIES AND AN APPLICATION UNDER A WEAK DEPENDENCE
HWANG, EUNJU; SHIN, DONG WAN;
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 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
 References
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