## Electronic Journal of Probability

### New Berry-Esseen bounds for non-linear functionals of Poisson random measures

#### Abstract

This paper deals with the quantitative normal approximation of non-linear functionals of Poisson random measures, where the quality is measured by the Kolmogorov distance. Combining Stein's method with the Malliavin calculus of variations on the Poisson space, we derive a bound, which is strictly smaller than what is available in the literature. This is applied to sequences of multiple integrals and sequences of Poisson functionals having a finite chaotic expansion. This leads to new Berry-Esseen bounds in a Poissonized version of de Jong's theorem for degenerate U-statistics. Moreover, geometric functionals of intersection processes of Poisson $k$-flats, random graph statistics of the Boolean model and non-linear functionals of Ornstein-Uhlenbeck-Lévy processes are considered.

#### Article information

Source
Electron. J. Probab. Volume 19 (2014), paper no. 102, 25 pp.

Dates
Accepted: 28 October 2014
First available in Project Euclid: 4 June 2016

https://projecteuclid.org/euclid.ejp/1465065744

Digital Object Identifier
doi:10.1214/EJP.v19-3061

Mathematical Reviews number (MathSciNet)
MR3275854

Zentralblatt MATH identifier
1307.60066

Rights

#### Citation

Eichelsbacher, Peter; Thäle, Christoph. New Berry-Esseen bounds for non-linear functionals of Poisson random measures. Electron. J. Probab. 19 (2014), paper no. 102, 25 pp. doi:10.1214/EJP.v19-3061. https://projecteuclid.org/euclid.ejp/1465065744.

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