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

dc.creatorSchreiber, T.
dc.creatorYukich, J. E.
dc.date2007-02-19
dc.date2008-01-09
dc.date.accessioned2026-07-07T08:53:22Z
dc.date.available2026-07-07T08:53:22Z
dc.descriptionWe 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.
dc.descriptionPublished in at http://dx.doi.org/10.1214/009117907000000259 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0702553
dc.identifierhttp://arxiv.org/abs/math/0702553
dc.identifierAnnals of Probability 2008, Vol. 36, No. 1, 363-396
dc.identifierdoi:10.1214/009117907000000259
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145598
dc.subjectProbability
dc.subject60F05 (Primary) 60D05 (Secondary)
dc.titleVariance asymptotics and central limit theorems for generalized growth processes with applications to convex hulls and maximal points
dc.typetext

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