Nonstandard limit theorem for infinite variance functionals

被引:13
|
作者
Sly, Allan [1 ]
Heyde, Chris [2 ]
机构
[1] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
[2] Australian Natl Univ, Inst Math Sci, Ctr Math & Applicat, Canberra, ACT 0200, Australia
来源
ANNALS OF PROBABILITY | 2008年 / 36卷 / 02期
关键词
fractional Brownian motion; long-range dependence; stable law; hypercontractivity;
D O I
10.1214/07-AOP345
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 alpha-stable Levy motion. For the critical value of the long-range dependence parameter, the limit is a sum of a Hermite process and alpha-stable Levy motion.
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页码:796 / 805
页数:10
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