AbstractThe wavelet threshold estimator of a regression function for the random design is constructed. The optimal uniform convergence rate of the estimator in a ball of Besov Space Bsp, q is proved under general assumptions. The adaptive wavelet threshold estimator with near-optimal convergence rate in a wide range of Besov scale is also constructed
AbstractWe consider block thresholding wavelet-based density estimators with randomly right-censored...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
AbstractThe wavelet threshold estimator of a regression function for the random design is constructe...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The nonlinear wavelet estimator of regression function with random design is constructed. The optima...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
17 pagesIn the framework of regression model with (known) random design, we prove that estimators of...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
AbstractWe consider block thresholding wavelet-based density estimators with randomly right-censored...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
AbstractThe wavelet threshold estimator of a regression function for the random design is constructe...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The wavelet threshold estimator of a regression function for the random design is constructed. The o...
The nonlinear wavelet estimator of regression function with random design is constructed. The optima...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
17 pagesIn the framework of regression model with (known) random design, we prove that estimators of...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
We show that for nonparametric regression if the samples have random uniform design, the wavelet met...
AbstractWe consider block thresholding wavelet-based density estimators with randomly right-censored...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
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