English

Second-order properties and central limit theorems for geometric functionals of Boolean models

Probability 2016-02-11 v3

Abstract

Let ZZ be a Boolean model based on a stationary Poisson process η\eta of compact, convex particles in Euclidean space Rd{\mathbb{R}}^d. Let WW denote a compact, convex observation window. For a large class of functionals ψ\psi, formulas for mean values of ψ(ZW)\psi(Z\cap W) are available in the literature. The first aim of the present work is to study the asymptotic covariances of general geometric (additive, translation invariant and locally bounded) functionals of ZWZ\cap W for increasing observation window WW, including convergence rates. Our approach is based on the Fock space representation associated with η\eta. For the important special case of intrinsic volumes, the asymptotic covariance matrix is shown to be positive definite and can be explicitly expressed in terms of suitable moments of (local) curvature measures in the isotropic case. The second aim of the paper is to prove multivariate central limit theorems including Berry-Esseen bounds. These are based on a general normal approximation result obtained by the Malliavin--Stein method.

Keywords

Cite

@article{arxiv.1308.6519,
  title  = {Second-order properties and central limit theorems for geometric functionals of Boolean models},
  author = {Daniel Hug and Günter Last and Matthias Schulte},
  journal= {arXiv preprint arXiv:1308.6519},
  year   = {2016}
}

Comments

Published at http://dx.doi.org/10.1214/14-AAP1086 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-22T01:17:27.531Z