The Annals of Applied Probability
- Ann. Appl. Probab.
- Volume 26, Number 1 (2016), 73-135.
Second-order properties and central limit theorems for geometric functionals of Boolean models
Daniel Hug, Günter Last, and Matthias Schulte
Abstract
Let $Z$ be a Boolean model based on a stationary Poisson process $\eta$ of compact, convex particles in Euclidean space $\mathbb{R}^{d}$. Let $W$ denote a compact, convex observation window. For a large class of functionals $\psi$, formulas for mean values of $\psi(Z\cap W)$ 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 $Z\cap W$ for increasing observation window $W$, including convergence rates. Our approach is based on the Fock space representation associated with $\eta$. 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.
Article information
Source
Ann. Appl. Probab., Volume 26, Number 1 (2016), 73-135.
Dates
Received: August 2013
Revised: April 2014
First available in Project Euclid: 5 January 2016
Permanent link to this document
https://projecteuclid.org/euclid.aoap/1452003235
Digital Object Identifier
doi:10.1214/14-AAP1086
Mathematical Reviews number (MathSciNet)
MR3449314
Zentralblatt MATH identifier
1348.60013
Subjects
Primary: 60D05: Geometric probability and stochastic geometry [See also 52A22, 53C65]
Secondary: 60F05: Central limit and other weak theorems 60G55: Point processes 60H07: Stochastic calculus of variations and the Malliavin calculus 52A22: Random convex sets and integral geometry [See also 53C65, 60D05]
Keywords
Boolean model central limit theorem covariance matrix intrinsic volume additive functional curvature measure Fock space representation Malliavin calculus Wiener–Itô chaos expansion Berry–Esseen bound integral geometry
Citation
Hug, Daniel; Last, Günter; Schulte, Matthias. Second-order properties and central limit theorems for geometric functionals of Boolean models. Ann. Appl. Probab. 26 (2016), no. 1, 73--135. doi:10.1214/14-AAP1086. https://projecteuclid.org/euclid.aoap/1452003235
