Nonstandard limit theorem for infinite variance functionals
Probability
2008-12-18 v1
Abstract
We consider functionals of long-range dependent Gaussian sequences with infinite variance and obtain nonstandard limit theorems. When the long-range dependence is strong enough, the limit is a Hermite process, while for weaker long-range dependence, the limit is -stable L\'{e}vy motion. For the critical value of the long-range dependence parameter, the limit is a sum of a Hermite process and -stable L\'{e}vy motion.
Cite
@article{arxiv.0804.2588,
title = {Nonstandard limit theorem for infinite variance functionals},
author = {Allan Sly and Chris Heyde},
journal= {arXiv preprint arXiv:0804.2588},
year = {2008}
}
Comments
Published in at http://dx.doi.org/10.1214/07-AOP345 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)