Normal approximation for coverage models over binomial point processes
classification
🧮 math.PR
keywords
binomialmodelspointvolumeapproximationboundsconvergencecouplings
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We give error bounds which demonstrate optimal rates of convergence in the CLT for the total covered volume and the number of isolated shapes, for germ-grain models with fixed grain radius over a binomial point process of $n$ points in a toroidal spatial region of volume $n$. The proof is based on Stein's method via size-biased couplings.
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