We prove the Malliavin regularity of the solution of a stochastic differential equation driven by a fractional Brownian motion of Hurst parameter H>0.5. The result is based on the Fréchet differentiability with respect to the input function for deterministic differential equations driven by Hölder continuous functions. It is also shown that the law of the solution has a density with respect to the Lebesgue measure, under a suitable nondegeneracy condition.Stochastic differential equation Malliavin calculus Fractional Brownian motion
This thesis is organized in three distinct parts, all of which focus on the application of the Malli...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliav...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
The fractional Brownian motions are a family of stochastic processes which resemble Brownian motion ...
By using Malliavin calculus and multiple Wiener–Itô integrals, we study the existence and the regula...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
By using Malliavin calculus and multiple Wiener–Itô integrals, we study the existence and the regula...
Fractional Brownian motion (FBM) with Hurst parameter index between 0 and 1 is a stochastic process ...
This thesis is organized in three distinct parts, all of which focus on the application of the Malli...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliav...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
AbstractWe prove the Malliavin regularity of the solution of a stochastic differential equation driv...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
International audienceWe prove the Malliavin regularity of the solution of a stochastic differential...
The fractional Brownian motions are a family of stochastic processes which resemble Brownian motion ...
By using Malliavin calculus and multiple Wiener–Itô integrals, we study the existence and the regula...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
The purpose of this paper is to give an introduction to the stochastic (Wick-It^{o}) integration an...
By using Malliavin calculus and multiple Wiener–Itô integrals, we study the existence and the regula...
Fractional Brownian motion (FBM) with Hurst parameter index between 0 and 1 is a stochastic process ...
This thesis is organized in three distinct parts, all of which focus on the application of the Malli...
The Malliavin calculus (or stochastic calculus of variations) is an infinite-dimensional differentia...
In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliav...