A strictly stationary $\beta$-mixing process satisfying the central limit theorem but not the weak invariance principle
Probability
2019-12-04 v3
Abstract
In 1983, N. Herrndorf proved that for a -mixing sequence satisfying the central limit theorem and , the weak invariance principle takes place. The question whether for strictly stationary sequences with finite second moments and a weaker type (, , ) of mixing the central limit theorem implies the weak invariance principle remained open. We construct a strictly stationary -mixing sequence with finite moments of any order and linear variance for which the central limit theorem takes place but not the weak invariance principle.
Keywords
Cite
@article{arxiv.1304.7960,
title = {A strictly stationary $\beta$-mixing process satisfying the central limit theorem but not the weak invariance principle},
author = {Davide Giraudo and Dalibor Volny},
journal= {arXiv preprint arXiv:1304.7960},
year = {2019}
}
Comments
12 pages