In this paper, we will evaluate integrals that define the conditional expectation, variance and characteristic function of stochastic processes with respect to fractional Brownian motion (fBm) for all relevant Hurst indices, i.e. (Formula presented.). Particularly, the fractional Ornstein–Uhlenbeck (fOU) process gives rise to highly nontrivial integration formulas that need careful analysis when considering the whole range of Hurst indices. We will show that the classical technique of analytic continuation, from complex analysis, provides a way of extending the domain of validity of an integral from (Formula presented.) to the larger domain (Formula presented.). Numerical experiments for different Hurst indices confirm the robustness and ef...
In this paper, we will focus - in dimension one - on the SDEs of the type dX_t=s(X_t)dB_t+b(X_t)dt w...
To appear in Stochastic Processes and their Applications 124 (2014) 678-708International audienceSto...
We introduce the stochastic integration with respect to the infinite-dimensional fractional Brownian...
In this paper, we will evaluate integrals that define the conditional expectation, variance and char...
Beginning with the basics of the Wiener process, we consider limitations characterizing the “Brownia...
Given an integer m, a probability measure ν on [0,1], a process X and a real function g, we define t...
International audienceWe develop a stochastic calculus of divergence type with respect to the fracti...
Traditional financial modeling is based on semimartingale processes with stationary and independent ...
International audienceWe discuss the relationships between some classical representations of the fra...
Using the tools of the stochastic integration with respect to the fractional Brownian motion, we obt...
This thesis deals with the stochastic integral with respect to Gaussian processes, which can be expr...
14 pages, accepté dans Journal of Statistical Computation & SimulationWe propose to estimate the Hur...
AbstractWe consider fractional Brownian motions BtH with arbitrary Hurst coefficients 0<H<1 and prov...
Let $X$ be a fractional Brownian motion. It is known that $M_t=int m_t dX,, tge 0$, where $m_t$ is a...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
In this paper, we will focus - in dimension one - on the SDEs of the type dX_t=s(X_t)dB_t+b(X_t)dt w...
To appear in Stochastic Processes and their Applications 124 (2014) 678-708International audienceSto...
We introduce the stochastic integration with respect to the infinite-dimensional fractional Brownian...
In this paper, we will evaluate integrals that define the conditional expectation, variance and char...
Beginning with the basics of the Wiener process, we consider limitations characterizing the “Brownia...
Given an integer m, a probability measure ν on [0,1], a process X and a real function g, we define t...
International audienceWe develop a stochastic calculus of divergence type with respect to the fracti...
Traditional financial modeling is based on semimartingale processes with stationary and independent ...
International audienceWe discuss the relationships between some classical representations of the fra...
Using the tools of the stochastic integration with respect to the fractional Brownian motion, we obt...
This thesis deals with the stochastic integral with respect to Gaussian processes, which can be expr...
14 pages, accepté dans Journal of Statistical Computation & SimulationWe propose to estimate the Hur...
AbstractWe consider fractional Brownian motions BtH with arbitrary Hurst coefficients 0<H<1 and prov...
Let $X$ be a fractional Brownian motion. It is known that $M_t=int m_t dX,, tge 0$, where $m_t$ is a...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
In this paper, we will focus - in dimension one - on the SDEs of the type dX_t=s(X_t)dB_t+b(X_t)dt w...
To appear in Stochastic Processes and their Applications 124 (2014) 678-708International audienceSto...
We introduce the stochastic integration with respect to the infinite-dimensional fractional Brownian...