International audienceWe study the nonparametric regression estimation when the explanatory variable takes values in some abstract functional space. We establish some asymptotic results and we give the (pointwise and uniform) convergence of the kernel type estimator constructed from functional data under long memory conditions
AbstractWe consider a nonparametric regression model where the response Y and the covariate X are bo...
This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a...
12 pages.We consider the recursive estimation of a regression functional where the explanatory varia...
International audienceWe study the nonparametric regression estimation when the explanatory variable...
International audienceThis work deals with the study of the estimation of the functional regression ...
International audienceThis paper deals with the study of the estimation of the functional regression...
AbstractWe consider the estimation of a regression functional where the explanatory variables take v...
International audienceWe consider the problem of predicting a real random variable from a functional...
The fixed design regression model with long-memory errors is considered. The finite-dimensional asym...
AbstractThe aim of this paper is to study asymptotic properties of the kernel regression estimate wh...
summary:We consider two continuous time processes; the first one is valued in a semi-metric space, w...
Classical functional data analysis (FDA) is based on directly observed random curves. However, in a ...
In this paper, we study a regression model in which explanatory variables are sampling points of a c...
In this paper, we study a regression model in which explanatory variables are sampling points of a c...
We consider a nonparametric regression model where the response Y and the covariate X are both funct...
AbstractWe consider a nonparametric regression model where the response Y and the covariate X are bo...
This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a...
12 pages.We consider the recursive estimation of a regression functional where the explanatory varia...
International audienceWe study the nonparametric regression estimation when the explanatory variable...
International audienceThis work deals with the study of the estimation of the functional regression ...
International audienceThis paper deals with the study of the estimation of the functional regression...
AbstractWe consider the estimation of a regression functional where the explanatory variables take v...
International audienceWe consider the problem of predicting a real random variable from a functional...
The fixed design regression model with long-memory errors is considered. The finite-dimensional asym...
AbstractThe aim of this paper is to study asymptotic properties of the kernel regression estimate wh...
summary:We consider two continuous time processes; the first one is valued in a semi-metric space, w...
Classical functional data analysis (FDA) is based on directly observed random curves. However, in a ...
In this paper, we study a regression model in which explanatory variables are sampling points of a c...
In this paper, we study a regression model in which explanatory variables are sampling points of a c...
We consider a nonparametric regression model where the response Y and the covariate X are both funct...
AbstractWe consider a nonparametric regression model where the response Y and the covariate X are bo...
This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a...
12 pages.We consider the recursive estimation of a regression functional where the explanatory varia...
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