Rate of Poisson approximation for nearest neighbor counts in large-dimensional Poisson point processes
Consider two independent homogeneous Poisson point processes Π of intensity λ and Π′ of intensity λ′ in d-dimensional Euclidean space. Let qk,d, k=0,1,…, be the fraction of Π-points which are the nearest Π-neighbor of precisely k Π′-points. It is known that as d→∞, the qk,d converge to the Poisson...
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Published in | Statistics & probability letters Vol. 92; pp. 143 - 147 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.09.2014
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Subjects | |
Online Access | Get full text |
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Summary: | Consider two independent homogeneous Poisson point processes Π of intensity λ and Π′ of intensity λ′ in d-dimensional Euclidean space. Let qk,d, k=0,1,…, be the fraction of Π-points which are the nearest Π-neighbor of precisely k Π′-points. It is known that as d→∞, the qk,d converge to the Poisson probabilities e−λ′/λ(λ′/λ)k/k!, k=0,1,…. We derive the (sharp) rate of convergence d−1/2(4/33)d, which is related to the asymptotic behavior of the variance of the volume of the typical cell of the Poisson–Voronoi tessellation generated by Π. An extension to the case involving more than two independent Poisson point processes is also considered. |
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ISSN: | 0167-7152 1879-2103 |
DOI: | 10.1016/j.spl.2014.05.014 |