Fine Gaussian fluctuations on the Poisson space II: Rescaled kernels, marked processes and geometric -statistics
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文摘
Continuing the analysis initiated by Lachi¨¨ze-Rey and Peccati (2013), we use contraction operators to study the normal approximation of random variables having the form of a -statistic written on the points in the support of a random Poisson measure. Applications are provided to subgraph counting, boolean models and coverage of random networks.

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