kth distance distributions for generalized Gauss-Poisson process in Rn

被引:1
|
作者
Pandey, Kaushlendra [1 ]
Gupta, Abhishek K. [1 ]
机构
[1] Indian Inst Technol Kanpur, Kanpur, Uttar Pradesh, India
关键词
Stochastic geometry; Generalized Gauss-Poisson process; Distance distributions; NEAREST-NEIGHBOR; CONTACT; DENSITY;
D O I
10.1016/j.spl.2021.109048
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
For a point process (PP), the kth contact distance refers to the distance of kth closest point from an arbitrary location and the kth nearest neighbor distance refers to the distance of kth nearest neighbor from an arbitrary point of the PP. We consider the generalized n-dimensional Gauss-Poisson process and derive the closed-form expressions for the cumulative distribution functions (CDFs) of these two distances for the general k. We also validate our analysis via numerical simulations and provide various insights using the presented analysis. (C) 2021 Published by Elsevier B.V.
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页数:9
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