Add to ORKGThis paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on wavelet thresholding. We provide theoretical results on its asymptotic performances
We propose and implement a density estimation procedure which begins by turning density estimation i...
International audienceThe development of wavelet theory has in recent years spawned applications in ...
With this article we first like to give a brief review on wavelet thresholding methods in non-Gaussi...
Abstract: This paper deals with the density and regression estima-tion problems for functional data....
This paper deals with density and regression estimation problems for functional data. Using wavelet ...
The nonparametric estimation of density and regression function based on functional stationary proce...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
International audienceThe nonparametric estimation of density and regression function based on funct...
International audienceThe nonparametric estimation of density and regression function based on funct...
We consider the problem of estimation of the density function for functional data with values in a c...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
International audienceWe consider a nonparametric regression model where m noiseperturbed functions ...
International audienceWe consider a nonparametric regression model where m noiseperturbed functions ...
19pWe consider a nonparametric regression model where $m$ noise-perturbed functions $f_1,\ldots,f_m$...
19pWe consider a nonparametric regression model where $m$ noise-perturbed functions $f_1,\ldots,f_m$...
We propose and implement a density estimation procedure which begins by turning density estimation i...
International audienceThe development of wavelet theory has in recent years spawned applications in ...
With this article we first like to give a brief review on wavelet thresholding methods in non-Gaussi...
Abstract: This paper deals with the density and regression estima-tion problems for functional data....
This paper deals with density and regression estimation problems for functional data. Using wavelet ...
The nonparametric estimation of density and regression function based on functional stationary proce...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
International audienceThe nonparametric estimation of density and regression function based on funct...
International audienceThe nonparametric estimation of density and regression function based on funct...
We consider the problem of estimation of the density function for functional data with values in a c...
For density estimation and nonparametric regression, block thresholding is very adaptive and efficie...
International audienceWe consider a nonparametric regression model where m noiseperturbed functions ...
International audienceWe consider a nonparametric regression model where m noiseperturbed functions ...
19pWe consider a nonparametric regression model where $m$ noise-perturbed functions $f_1,\ldots,f_m$...
19pWe consider a nonparametric regression model where $m$ noise-perturbed functions $f_1,\ldots,f_m$...
We propose and implement a density estimation procedure which begins by turning density estimation i...
International audienceThe development of wavelet theory has in recent years spawned applications in ...
With this article we first like to give a brief review on wavelet thresholding methods in non-Gaussi...