This paper deals with the problem of estimating the parameters for fractional diffusion process from discrete observations when the Hurst parameter H is unknown. With combination of several methods, such as the Donsker type approximate formula of fractional Brownian motion, quadratic variation method, and the maximum likelihood approach, we give the parameter estimations of the Hurst index, diffusion coefficients, and volatility and then prove their strong consistency. Finally, an extension for generalized fractional diffusion process and further work are briefly discussed
International audienceFirst we state the almost sure convergence for the $k$-power second order incr...
This study deals with drift parameters estimation problems in the sub-fractional Vasicek process giv...
International audienceIn this paper, we show how concentration inequalities for Gaussian quadratic f...
We consider the problem of Hurst index estimation for solutions of stochastic differential equations...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>We study a pro...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
parameter θ and where the noise is modeled as fractional Brownian motionwith Hurst index H ∈ (0, 12 ...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
International audienceThe fractional Brownian motion which has been defined by Kolmogorov \cite{k40}...
Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochast...
Numerical solution and parameter estimation for a type of fractional diffusion equation are consider...
In the paper consistent estimates of the Hurst parameter of fractional Brownian motion are obtained ...
We apply the techniques of stochastic integration with respect to the frac-tional Brownian motion an...
We consider a problem of statistical estimation of an unknown drift parameter for a stochastic diff...
International audienceFirst we state the almost sure convergence for the $k$-power second order incr...
This study deals with drift parameters estimation problems in the sub-fractional Vasicek process giv...
International audienceIn this paper, we show how concentration inequalities for Gaussian quadratic f...
We consider the problem of Hurst index estimation for solutions of stochastic differential equations...
International audienceThe use of diffusion models driven by fractional noise has become popular for ...
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>We study a pro...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
parameter θ and where the noise is modeled as fractional Brownian motionwith Hurst index H ∈ (0, 12 ...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
International audienceThe fractional Brownian motion which has been defined by Kolmogorov \cite{k40}...
Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochast...
Numerical solution and parameter estimation for a type of fractional diffusion equation are consider...
In the paper consistent estimates of the Hurst parameter of fractional Brownian motion are obtained ...
We apply the techniques of stochastic integration with respect to the frac-tional Brownian motion an...
We consider a problem of statistical estimation of an unknown drift parameter for a stochastic diff...
International audienceFirst we state the almost sure convergence for the $k$-power second order incr...
This study deals with drift parameters estimation problems in the sub-fractional Vasicek process giv...
International audienceIn this paper, we show how concentration inequalities for Gaussian quadratic f...