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Dimension free and infinite variance tail estimates on Poisson space

2004/12/17 by Jean-Christophe Breton, Breton, J. C., Christian Houdré +3
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #60E07 #60F99 #60G57 #FOS: Mathematics #Mathematical Approximation and Integration #Probability (math.PR) #Probability and Risk Models #Stochastic processes and financial applications

paper · pdf · doi:10.48550/arxiv.math/0412346

openalex publication_date 2004/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Concentration inequalities are obtained on Poisson space, for random functionals with finite or infinite variance. In particular, dimension free tail estimates and exponential integrability results are given for the Euclidean norm of vectors of independent functionals. In the finite variance case these results are applied to infinitely divisible random variables such as quadratic Wiener functionals, including Lévy's stochastic area and the square norm of Brownian paths. In the infinite variance case, various tail estimates such as stable ones are also presented.

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