Symmetric and centered binomial approximation of sums of locally dependent random variables

2006/08/05 by Röllin, Adrian
#60F05 #FOS: Mathematics #Probability (math.PR)

paper · doi:10.48550/arxiv.math/0608138

Abstract

Stein's method is used to approximate sums of discrete and locally dependent random variables by a centered and symmetric Binomial distribution. Under appropriate smoothness properties of the summands, the same order of accuracy as in the Berry-Essen Theorem is achieved. The approximation of the total number of points of a point processes is also considered. The results are applied to the exceedances of the r-scans process and to the Matérn hardcore point process type I.

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