Hard-core thinnings of germ‒grain models with power-law grain sizes

Mikko Kuronen, Lasse Leskelä

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Random sets with long-range dependence can be generated using a Boolean model with power-law grain sizes. We study thinnings of such Boolean models which have the hard-core property that no grains overlap in the resulting germ‒grain model. A fundamental question is whether long-range dependence is preserved under such thinnings. To answer this question, we study four natural thinnings of a Poisson germ‒grain model where the grains are spheres with a regularly varying size distribution. We show that a thinning which favors large grains preserves the slow correlation decay of the original model, whereas a thinning which favors small grains does not. Our most interesting finding concerns the case where only disjoint grains are retained, which corresponds to the well-known Matérn type-I thinning. In the resulting germ‒grain model, typical grains have exponentially small sizes, but rather surprisingly, the long-range dependence property is still present. As a byproduct, we obtain new mechanisms for generating homogeneous and isotropic random point configurations having a power-law correlation decay.
Original languageEnglish
Pages (from-to) 595-625
Number of pages31
JournalADVANCES IN APPLIED PROBABILITY
Volume45
Issue number3
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

Fingerprint Dive into the research topics of 'Hard-core thinnings of germ‒grain models with power-law grain sizes'. Together they form a unique fingerprint.

Cite this