@article{EJP332,
author = {Thierry Klein and Yutao Ma and Nicolas Privault},
title = {Convex Concentration Inequalities and Forward-Backward Stochastic Calculus},
journal = {Electron. J. Probab.},
fjournal = {Electronic Journal of Probability},
volume = {11},
year = {2006},
keywords = {Convex concentration inequalities, forward-backward stochastic calculus, deviation inequalities, Clark formula, Brownian motion, jump processes},
abstract = {Given $(M_t)_{t\in \mathbb{R}_+}$ and $(M^*_t)_{t\in \mathbb{R}_+}$ respectively a forward and a backward martingale with jumps and continuous parts, we prove that $E[\phi (M_t+M^*_t)]$ is non-increasing in $t$ when $\phi$ is a convex function, provided the local characteristics of $(M_t)_{t\in \mathbb{R}_+}$ and $(M^*_t)_{t\in \mathbb{R}_+}$ satisfy some comparison inequalities. We deduce convex concentration inequalities and deviation bounds for random variables admitting a predictable representation in terms of a Brownian motion and a non-necessarily independent jump component},
pages = {no. 20, 486-512},
issn = {1083-6489},
doi = {10.1214/EJP.v11-332},
url = {http://ejp.ejpecp.org/article/view/332}}