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 Electronic Journal of Probability > Vol. 11 (2006) > Paper 20 open journal systems 


Convex concentration inequalities and forward-backward stochastic calculus

Thierry Klein, Universite Paul Sabatier
Yutao Ma, Universite de La Rochelle
Nicolas Privault, Universite de La Rochelle


Abstract
Given (Mt)t ∈ R+ and (M*t)t ∈ R+ respectively a forward and a backward martingale with jumps and continuous parts, we prove that E[φ (Mt+M*t)] is non-decreasing in t when φ is a convex function, provided the local characteristics of (Mt)t ∈ R+ and (M*t)t ∈ 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.


Full text: PDF

Pages: 486-512

Published on: July 7, 2006


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Electronic Journal of Probability. ISSN: 1083-6489