AbstractIn this article, a class of second-order differential equations on [0,1], driven by a γ-Hölder continuous function for any value of γ∈(0,1) and with multiplicative noise, is considered. We first show how to solve this equation in a pathwise manner, thanks to Young integration techniques. We then study the differentiability of the solution with respect to the driving process and consider the case where the equation is driven by a fractional Brownian motion, with two aims in mind: show that the solution that we have produced coincides with the one which would be obtained with Malliavin calculus tools, and prove that the law of the solution is absolutely continuous with respect to the Lebesgue measure
AbstractIn this paper we prove a viability result for multidimensional, time dependent, stochastic d...
AbstractLet {BtH,t∈[0,T]} be a fractional Brownian motion with Hurst parameter H. We prove the exist...
ABSTRACT. We develop the filtering theory in the case where both the signal and the observation are ...
AbstractIn this article, a class of second-order differential equations on [0,1], driven by a γ-Höld...
AbstractWe consider the second order stochastic differential equation Ẍt + f(Xt, Xt) = Wt where t r...
Summary. We derive estimates for the solutions to differential equations driven by a Hölder continu...
This article is devoted to the existence and uniqueness of pathwise solutions to stochastic evolutio...
Preprint enviat per a la seva publicació en una revista científica: Stochastic Processes and their A...
In this talk, we use the techniques of fractional calculus and the fix-point theorem to show that a ...
We prove the Malliavin regularity of the solution of a stochastic differential equation driven by a ...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
In this thesis, we investigate the properties of solution to the stochastic differential equation dr...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this note we present new results regarding the existence, the uniqueness and the equivalence of t...
We consider stochastic differential equations (SDEs) driven by a fractional Brownian motion with dri...
AbstractIn this paper we prove a viability result for multidimensional, time dependent, stochastic d...
AbstractLet {BtH,t∈[0,T]} be a fractional Brownian motion with Hurst parameter H. We prove the exist...
ABSTRACT. We develop the filtering theory in the case where both the signal and the observation are ...
AbstractIn this article, a class of second-order differential equations on [0,1], driven by a γ-Höld...
AbstractWe consider the second order stochastic differential equation Ẍt + f(Xt, Xt) = Wt where t r...
Summary. We derive estimates for the solutions to differential equations driven by a Hölder continu...
This article is devoted to the existence and uniqueness of pathwise solutions to stochastic evolutio...
Preprint enviat per a la seva publicació en una revista científica: Stochastic Processes and their A...
In this talk, we use the techniques of fractional calculus and the fix-point theorem to show that a ...
We prove the Malliavin regularity of the solution of a stochastic differential equation driven by a ...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
In this thesis, we investigate the properties of solution to the stochastic differential equation dr...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this note we present new results regarding the existence, the uniqueness and the equivalence of t...
We consider stochastic differential equations (SDEs) driven by a fractional Brownian motion with dri...
AbstractIn this paper we prove a viability result for multidimensional, time dependent, stochastic d...
AbstractLet {BtH,t∈[0,T]} be a fractional Brownian motion with Hurst parameter H. We prove the exist...
ABSTRACT. We develop the filtering theory in the case where both the signal and the observation are ...