Smooth Matérn Gaussian random fields: Euler characteristic, expected number and height distribution of critical points

被引:0
|
作者
Cheng, Dan [1 ]
机构
[1] Arizona State Univ, Sch Math & Stat Sci, 900 S Palm Walk, Tempe, AZ 85281 USA
基金
美国国家科学基金会;
关键词
Gaussian random fields; Mat & eacute; rn; Smooth; Euler characteristic; Height distribution; Critical points; LOCAL MAXIMA; PEAKS; PROBABILITY; STATISTICS;
D O I
10.1016/j.spl.2024.110116
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 Gaussian random fields with Mat & eacute;rn covariance functions with smooth parameter v > 2 . Two cases of parameter spaces, the Euclidean space and N-dimensional sphere, are considered. For such smooth Gaussian fields, we have derived the explicit formulae for the expected Euler characteristic of the excursion set, the expected number and height distribution of critical points. The results are valuable for approximating the excursion probability in family-wise error control and for computing p-values in peak inference.
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页数:6
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