Variance asymptotics and central limit theorems for generalized growth processes with applications to convex hulls and maximal points



The Annals of Probability
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Variance asymptotics and central limit theorems for generalized growth processes with applications to convex hulls and maximal points

T. Schreiber and J. E. Yukich

Source: Ann. Probab. Volume 36, Number 1 (2008), 363-396.

Abstract

We show that the random point measures induced by vertices in the convex hull of a Poisson sample on the unit ball, when properly scaled and centered, converge to those of a mean zero Gaussian field. We establish limiting variance and covariance asymptotics in terms of the density of the Poisson sample. Similar results hold for the point measures induced by the maximal points in a Poisson sample. The approach involves introducing a generalized spatial birth growth process allowing for cell overlap.

Primary Subjects: 60F05
Secondary Subjects: 60D05
Keywords: Convex hulls; maximal points; spatial birth growth processes; Gaussian limits

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Permanent link to this document: http://projecteuclid.org/euclid.aop/1196268683
Digital Object Identifier: doi:10.1214/009117907000000259

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