Nonstandard limit theorem for infinite variance functionals
Allan Sly, Chris Heyde

TL;DR
This paper establishes nonstandard limit theorems for functionals of long-range dependent Gaussian sequences with infinite variance, revealing different limiting processes based on the strength of dependence.
Contribution
It introduces new limit theorems for infinite variance functionals under long-range dependence, identifying conditions for Hermite and stable Lévy process limits.
Findings
Limit is a Hermite process under strong dependence
Limit is an α-stable Lévy motion under weaker dependence
Critical dependence yields a sum of Hermite and stable Lévy processes
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.
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