arXiv:math/0410153 [math.PR]AbstractReferencesReviewsResources
Stochastic bounds for Levy processes
Published 2004-10-06Version 1
Using the Wiener-Hopf factorization, it is shown that it is possible to bound the path of an arbitrary Levy process above and below by the paths of two random walks. These walks have the same step distribution, but different random starting points. In principle, this allows one to deduce Levy process versions of many known results about the large-time behavior of random walks. This is illustrated by establishing a comprehensive theorem about Levy processes which converge to \infty in probability.
Comments: Published by the Institute of Mathematical Statistics (http://www.imstat.org) in the Annals of Probability (http://www.imstat.org/aop/) at http://dx.doi.org/10.1214/009117904000000315
Journal: Annals of Probability 2004, Vol. 32, No. 2, 1545-1552
Categories: math.PR
Keywords: levy processes, stochastic bounds, deduce levy process versions, random walks, arbitrary levy process
Tags: journal article
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