Add to ORKGInternational audienceWe describe the support of the distribution for a class of abstract nonlinear stochastic models with multiplicative noise, which covers many 2D hydrodynamical models including the 2D Navier-Stokes equations, 2D MHD models and 2D magnetic Bénard problems as well as some shell models of turbulence. Both inclusions are proved by means of a general Wong--Zakai type result of convergence in probability for nonlinear stochastic PDEs driven by a Hilbert-valued Brownian motion and some adapted finite dimensional approximation of this process
We study stochastic model reduction for evolution equations in infinite dimensional Hilbert spaces, ...
55 pages, many color figuresInternational audienceWe prove a version of the Wong-Zakai theorem for o...
In this article, we introduce a Wong-Zakai type stationary approximation to the fractional Brownian ...
International audienceWe describe the support of the distribution for a class of abstract nonlinear ...
International audienceWe deal with a class of abstract nonlinear stochastic models with multiplicati...
Abstract. We deal with a class of abstract nonlinear stochastic models with multiplica-tive noise, w...
In this study, Wong-Zakai approximation method has been applied for the analysis of stochastic diffe...
Nagase has given new results for the existence of solutions of stochastic partial differential equat...
International audienceWe deal with a class of abstract nonlinear stochastic models, which covers man...
AbstractA solution to a stochastic partial differential equation (in the Stratonovitch form) is an a...
International audienceWe will present some recent results about Large Deviations Principle and Stroo...
An approximation theorem of stochastic differential equations driven by semimartingales is proved, b...
Existence and uniqueness for semilinear stochastic evolution equations with additive noise by means ...
Bessaih H, Hausenblas E, Randrianasolo TA, Razafimandimby P. Numerical approximation of stochastic e...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
We study stochastic model reduction for evolution equations in infinite dimensional Hilbert spaces, ...
55 pages, many color figuresInternational audienceWe prove a version of the Wong-Zakai theorem for o...
In this article, we introduce a Wong-Zakai type stationary approximation to the fractional Brownian ...
International audienceWe describe the support of the distribution for a class of abstract nonlinear ...
International audienceWe deal with a class of abstract nonlinear stochastic models with multiplicati...
Abstract. We deal with a class of abstract nonlinear stochastic models with multiplica-tive noise, w...
In this study, Wong-Zakai approximation method has been applied for the analysis of stochastic diffe...
Nagase has given new results for the existence of solutions of stochastic partial differential equat...
International audienceWe deal with a class of abstract nonlinear stochastic models, which covers man...
AbstractA solution to a stochastic partial differential equation (in the Stratonovitch form) is an a...
International audienceWe will present some recent results about Large Deviations Principle and Stroo...
An approximation theorem of stochastic differential equations driven by semimartingales is proved, b...
Existence and uniqueness for semilinear stochastic evolution equations with additive noise by means ...
Bessaih H, Hausenblas E, Randrianasolo TA, Razafimandimby P. Numerical approximation of stochastic e...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
We study stochastic model reduction for evolution equations in infinite dimensional Hilbert spaces, ...
55 pages, many color figuresInternational audienceWe prove a version of the Wong-Zakai theorem for o...
In this article, we introduce a Wong-Zakai type stationary approximation to the fractional Brownian ...