http://www.edpsciences.org/journal/index.cfm?edpsname=psWe show in this article how the theory of "rough paths" allows us to construct solutions of differential equations (SDEs) driven by processes generated by divergence-form operators. For that, we use approximations of the trajectories of the stochastic process by piecewise smooth paths. A result of type Wong-Zakai follows immediately
AbstractWe extend the domain of the divergence operator δ for Gaussian processes in the sense of the...
AbstractThe Wong–Zakai theorem asserts that ODEs driven by “reasonable” (e.g. piecewise linear) appr...
We build a hybrid theory of rough stochastic analysis which seamlessly combines the advantages of bo...
Abstract: We show in this article how the theory of “rough paths ” allows us to construct solutions ...
http://www.edpsciences.org/journal/index.cfm?edpsname=psInternational audienceWe have seen in a prev...
We have seen in a previous article how the theory of “rough paths” allows us to construct solutions ...
AbstractWe prove a stochastic representation, similar to the Feynman–Kac formula, for solutions of p...
We extend some results on time-homogeneous processes generated by divergence form operators to time-...
http://www.iospress.nl/We prove here using stochastic analysis the homogenization property of second...
International audienceThe theory of rough paths allows one to define controlled differential equatio...
This article aims to be an introduction to the theory of rough paths, in which integrals of differen...
AbstractWe extend some results on time-homogeneous processes generated by divergence form operators ...
International audienceMotivated by the recent advances in the theory of stochastic partial different...
Consider an Ito ̂ process X satisfying the stochastic differential equation dX = a(X) dt + b(X) dW w...
Consider an It\^{o} process \(X\) satisfying the stochastic differential equation \(dX=a(X)\,dt+b(X)...
AbstractWe extend the domain of the divergence operator δ for Gaussian processes in the sense of the...
AbstractThe Wong–Zakai theorem asserts that ODEs driven by “reasonable” (e.g. piecewise linear) appr...
We build a hybrid theory of rough stochastic analysis which seamlessly combines the advantages of bo...
Abstract: We show in this article how the theory of “rough paths ” allows us to construct solutions ...
http://www.edpsciences.org/journal/index.cfm?edpsname=psInternational audienceWe have seen in a prev...
We have seen in a previous article how the theory of “rough paths” allows us to construct solutions ...
AbstractWe prove a stochastic representation, similar to the Feynman–Kac formula, for solutions of p...
We extend some results on time-homogeneous processes generated by divergence form operators to time-...
http://www.iospress.nl/We prove here using stochastic analysis the homogenization property of second...
International audienceThe theory of rough paths allows one to define controlled differential equatio...
This article aims to be an introduction to the theory of rough paths, in which integrals of differen...
AbstractWe extend some results on time-homogeneous processes generated by divergence form operators ...
International audienceMotivated by the recent advances in the theory of stochastic partial different...
Consider an Ito ̂ process X satisfying the stochastic differential equation dX = a(X) dt + b(X) dW w...
Consider an It\^{o} process \(X\) satisfying the stochastic differential equation \(dX=a(X)\,dt+b(X)...
AbstractWe extend the domain of the divergence operator δ for Gaussian processes in the sense of the...
AbstractThe Wong–Zakai theorem asserts that ODEs driven by “reasonable” (e.g. piecewise linear) appr...
We build a hybrid theory of rough stochastic analysis which seamlessly combines the advantages of bo...