International audienceWe construct a robust truncated sequential estimator for the point- wise estimation problem in nonparametric autoregression models with smooth coe cients. For Gaussian models we propose an adaptive pro- cedure based on the constructed sequential estimators. The minimax nonadaptive and adaptive convergence rates are established. It turns out that in this case these rates are the same as for regression models
In this article we consider the nonparametric robust estimation problem for regression models in con...
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, ...
The article considers the problem of estimating linear parameters in stochastic regression models wi...
International audienceWe construct a robust truncated sequential estimator for the point- wise estim...
We construct efficient robust truncated sequential estimators for the pointwise estimation problem i...
We constuct a sequential adaptive procedure for estimating the autoregressive function at a given po...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
International audienceIn this paper for the first time the nonparametric autoregression estimation p...
International audienceThis paper deals with the estimation of a autoregression function at a given p...
In this paper we consider high dimension models based on dependent observations defined through auto...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
For an autoregressive process of order p, the paper proposes new sequential estimates for the unknow...
This article revisits a sequential approach to the estimation of the parameter in a p-order autoregr...
14 pagesThe paper deals with the nonparametric estimation problem at a given fixed point for an auto...
• A nonparametric regression estimator is introduced which adapts to the smoothness of the unknown f...
In this article we consider the nonparametric robust estimation problem for regression models in con...
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, ...
The article considers the problem of estimating linear parameters in stochastic regression models wi...
International audienceWe construct a robust truncated sequential estimator for the point- wise estim...
We construct efficient robust truncated sequential estimators for the pointwise estimation problem i...
We constuct a sequential adaptive procedure for estimating the autoregressive function at a given po...
In this paper for the first time the adaptive efficient estimation problem for nonparametric autoreg...
International audienceIn this paper for the first time the nonparametric autoregression estimation p...
International audienceThis paper deals with the estimation of a autoregression function at a given p...
In this paper we consider high dimension models based on dependent observations defined through auto...
International audienceWe consider the nonparametric robust estimation problem for regression models ...
For an autoregressive process of order p, the paper proposes new sequential estimates for the unknow...
This article revisits a sequential approach to the estimation of the parameter in a p-order autoregr...
14 pagesThe paper deals with the nonparametric estimation problem at a given fixed point for an auto...
• A nonparametric regression estimator is introduced which adapts to the smoothness of the unknown f...
In this article we consider the nonparametric robust estimation problem for regression models in con...
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, ...
The article considers the problem of estimating linear parameters in stochastic regression models wi...