A large-dimensional independent and identically distributed property for nearest neighbor counts in Poisson processes
Yao, Yi-Ching ; Simons, Gordon
Ann. Appl. Probab., Tome 6 (1996) no. 1, p. 561-571 / Harvested from Project Euclid
For an arbitrary point of a homogeneous Poisson point process in a d-dimensional Euclidean space, consider the number of Poisson points that have that given point as their rth nearest neighbor $(r = 1, 2, \dots)$. It is shown that as d tends to infinity, these nearest neighbor counts $(r = 1, 2, \dots)$ are iid asymptotically Poisson with mean 1. The proof relies on Rényi's characterization of Poisson processes and a representation in the limit of each nearest neighbor count as a sum of countably many dependent Bernoulli random variables.
Publié le : 1996-05-14
Classification:  Nearest neighbor counts,  Poisson point process,  60G55,  60B12,  60D05
@article{1034968144,
     author = {Yao, Yi-Ching and Simons, Gordon},
     title = {A large-dimensional independent and identically distributed
		 property for nearest neighbor counts in Poisson processes},
     journal = {Ann. Appl. Probab.},
     volume = {6},
     number = {1},
     year = {1996},
     pages = { 561-571},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1034968144}
}
Yao, Yi-Ching; Simons, Gordon. A large-dimensional independent and identically distributed
		 property for nearest neighbor counts in Poisson processes. Ann. Appl. Probab., Tome 6 (1996) no. 1, pp.  561-571. http://gdmltest.u-ga.fr/item/1034968144/