Add to ORKGThe 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.local polynomial estimation wavelet estimation optimal convergence rate regression estimation threshold Besov space
Abstract: In this article we investigate the asymptotic and numerical properties of a class of block...
Additive regression models have turned out to be useful statistical tools in the analysis of high-di...
20 pA nonparametric regression model with uniform random design and heteroscedastic errors (with a d...
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...
AbstractThe wavelet threshold estimator of a regression function for the random design is constructe...
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...
The problem of estimating a regression function based on a regression model with (known) random desi...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
Abstract: In this article we investigate the asymptotic and numerical properties of a class of block...
Additive regression models have turned out to be useful statistical tools in the analysis of high-di...
20 pA nonparametric regression model with uniform random design and heteroscedastic errors (with a d...
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...
AbstractThe wavelet threshold estimator of a regression function for the random design is constructe...
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...
The problem of estimating a regression function based on a regression model with (known) random desi...
We study the performances of an adaptive procedure based on a convex combination, with data-driven w...
Density estimation is a commonly used test case for non-parametric estimation methods. We explore th...
Abstract: In this article we investigate the asymptotic and numerical properties of a class of block...
Additive regression models have turned out to be useful statistical tools in the analysis of high-di...
20 pA nonparametric regression model with uniform random design and heteroscedastic errors (with a d...