In this paper we prove the asymptotic efficiency of the model selection procedure proposed by the authors in [1]. To this end we introduce the robust risk as the least upper bound of the quadratical risk over a broad class of observation distributions. Asymptotic upper and lower bounds for the robust risk have been derived. The asymptotic efficiency of the procedure is proved. The Pinsker constant is foun
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this paper, we consider the robust adaptive non parametric estimation problem for the periodic fu...
In this paper we prove the asymptotic efficiency of the model selection procedure proposed by the au...
In this paper we prove the asymptotic efficiency of the model selection procedure proposed by the au...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
We consider the nonparametric robust estimation problem for regression models in continuous time wit...
International audienceThis paper considers the problem of robust adaptive efficient estimating of a ...
The paper deals with asymptotic properties of the adaptive procedure proposed in the author paper, 2...
The paper considers the problem of robust estimating a periodic function in a continuous time regres...
The paper considers the problem of robust estimating a periodic function in a continuous time regres...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
In this paper, we develop the James–Stein improved method for the estimation problem of a nonparamet...
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this paper, we consider the robust adaptive non parametric estimation problem for the periodic fu...
In this paper we prove the asymptotic efficiency of the model selection procedure proposed by the au...
In this paper we prove the asymptotic efficiency of the model selection procedure proposed by the au...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
We consider the nonparametric robust estimation problem for regression models in continuous time wit...
International audienceThis paper considers the problem of robust adaptive efficient estimating of a ...
The paper deals with asymptotic properties of the adaptive procedure proposed in the author paper, 2...
The paper considers the problem of robust estimating a periodic function in a continuous time regres...
The paper considers the problem of robust estimating a periodic function in a continuous time regres...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
In this paper, we develop the James–Stein improved method for the estimation problem of a nonparamet...
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this article we consider the nonparametric robust estimation problem for regression models in con...
In this paper, we consider the robust adaptive non parametric estimation problem for the periodic fu...