AbstractIn this paper we propose nonparametric estimates of the regression function and its derivative when it is only assumed a weak error's structure. We study their local and global asymptotic behaviour when we observe dependent trajectories
AbstractIn this paper we consider the estimation of the error distribution in a heteroscedastic nonp...
The nonparametric estimation of a regression function from conditional moment restrictions involving...
This paper is concerned with estimating nonparametric regression function g on the basis of noisy ob...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
We consider the nonparametric estimation of the regression functions for dependentdata. Suppose that...
The effect of errors in variables in nonparametric regression estimation is examined. To account for...
The asymptotic properties of the least squares estimator are derived for a non regular nonlinear mod...
Abstract. In this paper, we study the nonparametric estimation of the regression function for depend...
AbstractConsider the nonparametric estimation of a multivariate regression function and its derivati...
An asymptotic theory is developed for a weakly identified cointegrating regression model in which th...
In this paper we estimate the nonparametric mean regression function when all the variables of the m...
In this paper we consider the estimation of the error distribution in a heteroscedastic nonparametri...
The aim of this paper is to show that existing estimators for the error distribution in nonparametri...
We investigate asymptotic properties of least-absolute-deviation or median quantile estimates of the...
AbstractWe consider the problem of estimating a regression function with nonrandom design points and...
AbstractIn this paper we consider the estimation of the error distribution in a heteroscedastic nonp...
The nonparametric estimation of a regression function from conditional moment restrictions involving...
This paper is concerned with estimating nonparametric regression function g on the basis of noisy ob...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
We consider the nonparametric estimation of the regression functions for dependentdata. Suppose that...
The effect of errors in variables in nonparametric regression estimation is examined. To account for...
The asymptotic properties of the least squares estimator are derived for a non regular nonlinear mod...
Abstract. In this paper, we study the nonparametric estimation of the regression function for depend...
AbstractConsider the nonparametric estimation of a multivariate regression function and its derivati...
An asymptotic theory is developed for a weakly identified cointegrating regression model in which th...
In this paper we estimate the nonparametric mean regression function when all the variables of the m...
In this paper we consider the estimation of the error distribution in a heteroscedastic nonparametri...
The aim of this paper is to show that existing estimators for the error distribution in nonparametri...
We investigate asymptotic properties of least-absolute-deviation or median quantile estimates of the...
AbstractWe consider the problem of estimating a regression function with nonrandom design points and...
AbstractIn this paper we consider the estimation of the error distribution in a heteroscedastic nonp...
The nonparametric estimation of a regression function from conditional moment restrictions involving...
This paper is concerned with estimating nonparametric regression function g on the basis of noisy ob...
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