Abstract: This paper deals with the density and regression estima-tion problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on wavelet thresholding. Its asymptotic performances are explored via the maxiset approach
The problem of generalized nonparametric function estimation has received considerable attention ove...
This paper considers an unknown functional estimation problem in a regression model with multiplicat...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
This paper deals with density and regression estimation problems for functional data. Using wavelet ...
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...
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...
International audienceThe nonparametric estimation of density and regression function based on funct...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
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 $f_1,\ldots,f_m$...
The problem of generalized nonparametric function estimation has received considerable attention ove...
This paper considers an unknown functional estimation problem in a regression model with multiplicat...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
This paper deals with density and regression estimation problems for functional data. Using wavelet ...
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...
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...
International audienceThe nonparametric estimation of density and regression function based on funct...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
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 $f_1,\ldots,f_m$...
The problem of generalized nonparametric function estimation has received considerable attention ove...
This paper considers an unknown functional estimation problem in a regression model with multiplicat...
A new methodology for the application of wavelets in non-parametric density estimation is proposed. ...
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