@article{ECP1397,
author = {Harald Luschgy and Gilles Pagès},
title = {Moment estimates for Lévy Processes},
journal = {Electron. Commun. Probab.},
fjournal = {Electronic Communications in Probability},
volume = {13},
year = {2008},
keywords = {Levy process increment; Levy measure; alpha-stable process; Normal Inverse Gaussian process; tempered stable process; Meixner process.},
abstract = {For real Lévy processes $(X_t)_{t \geq 0}$ having no Brownian component with Blumenthal-Getoor index $\beta$, the estimate $E \sup_{s \leq t} |X_s - a_p s|^p \leq C_p t$ for every $t \in [0,1]$ and suitable $a_p \in R$ has been established by Millar for $\beta < p \leq 2$ provided $X_1 \in L^p$. We derive extensions of these estimates to the cases $p > 2$ and $p \leq\beta$.},
pages = {no. 41, 422-434},
issn = {1083-589X},
doi = {10.1214/ECP.v13-1397},
url = {http://ecp.ejpecp.org/article/view/1397}}