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- W4245203727 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." @default.
- W4245203727 created "2022-05-12" @default.
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- W4245203727 date "2013-09-01" @default.
- W4245203727 modified "2023-10-18" @default.
- W4245203727 title "Hard-Core Thinnings of Germ‒Grain Models with Power-Law Grain Sizes" @default.
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- W4245203727 doi "https://doi.org/10.1017/s0001867800006509" @default.
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