AbstractWe consider the problem of estimating a regression function with nonrandom design points and dependent errors. We construct a spline estimate of the regression function and obtain its rate of convergence. It turns out that the dependence of the observations is reflected in this rate
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractWe study a random design regression model generated by dependent observations, when the regr...
Abstract We consider a fixed-design regression model with long-range dependent errors which form a m...
AbstractThe effect of dependent errors in fixed-design, nonparametric regression is investigated. It...
Abstract. In this paper, we study the nonparametric estimation of the regression function for depend...
AbstractThis paper investigates performance of nonparametric kernel regression and its associated ba...
We consider the nonparametric estimation of the regression functions for dependentdata. Suppose that...
In this article we study the estimation of the location of jump points in the first derivative (refe...
This paper proposes a new B-spline method for nonparametric regression function estimation which can...
Abstract. Nonparametric orthogonal series regression function estimation is investigated in the case...
This paper is concerned with estimating nonparametric regression function g on the basis of noisy ob...
International audienceWe investigate the nonparametric estimation for regression in a fixed-design s...
In this note the problem of nonparametric regression function estimation in a random design regressi...
A central limit theorem is given for certain weighted sums of a covariance stationary process, assum...
International audienceThis paper deals with the study of the estimation of the functional regression...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractWe study a random design regression model generated by dependent observations, when the regr...
Abstract We consider a fixed-design regression model with long-range dependent errors which form a m...
AbstractThe effect of dependent errors in fixed-design, nonparametric regression is investigated. It...
Abstract. In this paper, we study the nonparametric estimation of the regression function for depend...
AbstractThis paper investigates performance of nonparametric kernel regression and its associated ba...
We consider the nonparametric estimation of the regression functions for dependentdata. Suppose that...
In this article we study the estimation of the location of jump points in the first derivative (refe...
This paper proposes a new B-spline method for nonparametric regression function estimation which can...
Abstract. Nonparametric orthogonal series regression function estimation is investigated in the case...
This paper is concerned with estimating nonparametric regression function g on the basis of noisy ob...
International audienceWe investigate the nonparametric estimation for regression in a fixed-design s...
In this note the problem of nonparametric regression function estimation in a random design regressi...
A central limit theorem is given for certain weighted sums of a covariance stationary process, assum...
International audienceThis paper deals with the study of the estimation of the functional regression...
AbstractIn this paper we propose nonparametric estimates of the regression function and its derivati...
AbstractWe study a random design regression model generated by dependent observations, when the regr...
Abstract We consider a fixed-design regression model with long-range dependent errors which form a m...
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