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

机译:截尾对重尾随机向量的大偏差的影响

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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 be ~(Rd)-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.
机译:本文研究了截断对来自截断幂律模型的三角形阵列部分和的大偏差行为的影响。三角形阵列的每一行都由i.d.随机矢量,其分布与半径为无穷大的球上的幂定律匹配,并且在其外部进行了轻尾修改。假定随机向量具有〜(Rd)值。事实证明,取决于截断阈值的增长率,有两种方式,因此在一种方式中,保留了许多繁重的拖尾现象,而在另一种方式中,则失去了同样的效果。

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