20 pagesThe main tool for stochastic calculus with respect to a multidimensional process $B$ with small Hölder regularity index is rough path theory. Once $B$ has been lifted to a rough path, a stochastic calculus -- as well as solutions to stochastic differential equations driven by $B$ -- follow by standard arguments. Although such a lift has been proved to exist by abstract arguments \cite{LyoVic07}, a first general, explicit construction has been proposed in \cite{Unt09,Unt09bis} under the name of Fourier normal ordering. The purpose of this short note is to convey the main ideas of the Fourier normal ordering method in the particular case of the iterated integrals of lowest order of fractional Brownian motion with arbitrary Hurst index
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
AbstractFourier normal ordering (Unterberger, 2009) [34] is a new algorithm to construct explicit ro...
32 pagesInternational audienceIn this paper, we consider a complex-valued d-dimensional fractional B...
AbstractFourier normal ordering (Unterberger, 2009) [34] is a new algorithm to construct explicit ro...
This is the published version, also available here: http://dx.doi.org/10.1214/10-AOP578.This note is...
This is the published version, also available here: http://dx.doi.org/10.1214/10-AOP578.This note is...
43 pagesInternational audienceIn this article, we derive a Stratonovich and Skorohod type change of ...
46 pagesIn this paper we consider a n-dimensional stochastic differential equation driven by a fract...
46 pagesIn this paper we consider a n-dimensional stochastic differential equation driven by a fract...
AbstractThe goal of this paper is to show that under some assumptions, for a d-dimensional fractiona...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
AbstractFourier normal ordering (Unterberger, 2009) [34] is a new algorithm to construct explicit ro...
32 pagesInternational audienceIn this paper, we consider a complex-valued d-dimensional fractional B...
AbstractFourier normal ordering (Unterberger, 2009) [34] is a new algorithm to construct explicit ro...
This is the published version, also available here: http://dx.doi.org/10.1214/10-AOP578.This note is...
This is the published version, also available here: http://dx.doi.org/10.1214/10-AOP578.This note is...
43 pagesInternational audienceIn this article, we derive a Stratonovich and Skorohod type change of ...
46 pagesIn this paper we consider a n-dimensional stochastic differential equation driven by a fract...
46 pagesIn this paper we consider a n-dimensional stochastic differential equation driven by a fract...
AbstractThe goal of this paper is to show that under some assumptions, for a d-dimensional fractiona...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
28 pages - Supported by the grants BFM 2003-01345, HF 2003-006, Dirección General de Investigación, ...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...