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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 α\alpha-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 α\alpha-stable L\'{e}vy motion.

Keywords

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)

R2 v1 2026-06-21T10:31:36.626Z