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Optimal Berry-Esseen bounds on the Poisson space

We establish new lower bounds for the normal approximation in the Wasserstein distance of random variables that are functionals of a Poisson measure. Our results generalize previous findings by Nourdin and Peccati (2012, 2015) and Biermé, Bonami, Nourdin and Peccati (2013), involving random variables living on a Gaussian space. Applications are given to optimal Berry-Esseen bounds for edge counting in random geometric graphs.

preprint2015arXivOpen access
Ehsan AzmoodehGiovanni Peccati
math.PR
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Open access2 authors1 topic
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Ehsan AzmoodehGiovanni Peccati

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