Effect of truncation on large deviations for heavy-tailed random vectors

被引:2
|
作者
Chakrabarty, Arijit [1 ]
机构
[1] Indian Stat Inst, Stat & Math Unit, New Delhi 110016, India
关键词
Heavy tails; Truncation; Regular variation; Large deviation; INTEGRAL LIMIT-THEOREMS; CRAMERS CONDITION; ACCOUNT;
D O I
10.1016/j.spa.2011.09.006
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
This paper studies the effect of truncation on the large deviations behavior of the partial sum of a triangular array coming from a truncated power law model. Each row of the triangular array consists of i.i.d. random vectors, whose distribution matches a power law on a ball of radius going to infinity, and outside that it has a light-tailed modification. The random vectors are assumed to he R-d-valued. It turns out that there are two regimes depending on the growth rate of the truncating threshold, so that in one regime, much of the heavy tailedness is retained, while in the other regime, the same is lost. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:623 / 653
页数:31
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