We establish Gaussian limits for general measures induced by binomial and Poisson point processes in d-dimensional space. The limiting Gaussian field has a covariance functional which depends on the density of the point process. The general results are used to deduce central limit theorems for measures induced by random graphs (nearest neighbor, Voronoi and sphere of influence graph), random sequential packing models (ballistic deposition and spatial birth–growth models) and statistics of germ–grain models.
Publié le : 2005-02-14
Classification:
Gaussian fields,
cluster measures,
central limit theorems,
random Euclidean graphs,
random sequential packing,
Boolean models,
60F05,
60D05
@article{1106922327,
author = {Baryshnikov, Yu. and Yukich, J. E.},
title = {Gaussian limits for random measures in geometric probability},
journal = {Ann. Appl. Probab.},
volume = {15},
number = {1A},
year = {2005},
pages = { 213-253},
language = {en},
url = {http://dml.mathdoc.fr/item/1106922327}
}
Baryshnikov, Yu.; Yukich, J. E. Gaussian limits for random measures in geometric probability. Ann. Appl. Probab., Tome 15 (2005) no. 1A, pp. 213-253. http://gdmltest.u-ga.fr/item/1106922327/