We propose a nonparametric estimation for a class of fractional stochastic differential equations (FSDE) with random effects. We precisely consider general linear fractional stochastic differential equations with drift depending on random effects and non-random diffusion. We build ordinary kernel estimators and histogram estimators and study their risk (), when . Asymptotic results are evaluated as both and N tend to infinity
We consider N independent stochastic processes (Xi(t), t ∈ [0, T ]), i = 1,. .. , N , dened by a one...
Abstract. We consider here nonparametric estimation for integrated diffusion pro-cesses. Let (Vt) be...
Abstract. We consider a one-dimensional diffusion process (Xt) which is observed at n + 1 discrete t...
Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochast...
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes estimator of ...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
International audienceThis paper deals with the consistency and a rate of convergence for a Nadaraya...
Abstract. We consider N independent stochastic processes (Xj(t), t ∈ [0, T]), j = 1,..., N, defined ...
Abstract. We consider N independent stochastic processes (Xj(t), t ∈ [0, T]), j = 1,..., N, defined ...
We consider a problem of statistical estimation of an unknown drift parameter for a stochastic diff...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We apply the techniques of stochastic integration with respect to the frac-tional Brownian motion an...
The starting point for the thesis is an Ornstein-Uhlenbeck type stochastic differential equation dXt...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
In this paper we consider the drift estimation problem for a general differential equation driven by...
We consider N independent stochastic processes (Xi(t), t ∈ [0, T ]), i = 1,. .. , N , dened by a one...
Abstract. We consider here nonparametric estimation for integrated diffusion pro-cesses. Let (Vt) be...
Abstract. We consider a one-dimensional diffusion process (Xt) which is observed at n + 1 discrete t...
Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochast...
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes estimator of ...
In this chapter, we consider a problem of statistical estimation of an unknown drift parameter for a...
International audienceThis paper deals with the consistency and a rate of convergence for a Nadaraya...
Abstract. We consider N independent stochastic processes (Xj(t), t ∈ [0, T]), j = 1,..., N, defined ...
Abstract. We consider N independent stochastic processes (Xj(t), t ∈ [0, T]), j = 1,..., N, defined ...
We consider a problem of statistical estimation of an unknown drift parameter for a stochastic diff...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
We apply the techniques of stochastic integration with respect to the frac-tional Brownian motion an...
The starting point for the thesis is an Ornstein-Uhlenbeck type stochastic differential equation dXt...
We consider estimation of scalar functions that determine the dynamics of diffusion processes. It ha...
In this paper we consider the drift estimation problem for a general differential equation driven by...
We consider N independent stochastic processes (Xi(t), t ∈ [0, T ]), i = 1,. .. , N , dened by a one...
Abstract. We consider here nonparametric estimation for integrated diffusion pro-cesses. Let (Vt) be...
Abstract. We consider a one-dimensional diffusion process (Xt) which is observed at n + 1 discrete t...