arXiv Analytics

Sign in

arXiv:1509.07602 [math.PR]AbstractReferencesReviewsResources

On the invariance principle for empirical processes of associated sequences

Vadim Demichev

Published 2015-09-25Version 1

We consider empirical processes generated by strictly stationary sequences of associated random variables. S. Louhichi established an invariance principle for such processes, assuming that the covariance function decays rapidly enough. We show that under certain conditions imposed on the pairwise distributions of the random variables in question the restrictions on the rate of decay of the covariance function can be relaxed.

Related articles: Most relevant | Search more
arXiv:1801.07882 [math.PR] (Published 2018-01-24)
Invariance principle for non-homogeneous random walks
arXiv:1504.01689 [math.PR] (Published 2015-04-07)
Invariance principle on the slice
arXiv:math/0506594 [math.PR] (Published 2005-06-29)
Concentration around the mean for maxima of empirical processes