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Stein approximation for multidimensional Poisson random measures by third cumulant expansions (1806.00235v1)
Published 1 Jun 2018 in math.PR
Abstract: We obtain Stein approximation bounds for stochastic integrals with respect to a Poisson random measure over ${\Bbb R}d$, $d\geq 2$. This approach relies on third cumulant Edgeworth-type expansions based on derivation operators defined by the Malliavin calculus for Poisson random measures. The use of third cumulants can exhibit faster convergence rates than the standard Berry-Esseen rate for some sequences of Poisson stochastic integrals.
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