UNIFORMLY EFFICIENT SIMULATION FOR TAIL PROBABILITIES OF GAUSSIAN RANDOM FIELDS

被引:0
|
作者
Xu, Gongjun [1 ]
机构
[1] Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider rare-event simulation of the tail probabilities of Gaussian random fields. In particular, we design importance sampling estimators that are uniformly efficient for a family of Gaussian random fields with different mean and variance functions.
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页码:533 / 542
页数:10
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