We introduce and compare several robust procedures for bandwidth selection when estimating the variance function. These bandwidth selectors are to be used in combination with the robust scale estimates introduced by Boente et al. (2010a). We consider two different robust cross--validation strategies combined with two ways for measuring the cross--validation prediction error. The different proposals are compared with non robust alternatives using Monte Carlo simulation. We also derive some asymptotic results to investigate the large sample performance of the corresponding robust data--driven scale estimators.Fil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Adminis...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...
AbstractCross-validation methodologies have been widely used as a means of selecting tuning paramete...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...
http://demonstrations.wolfram.com/NonparametricDensityEstimationRobustCrossValidationBandwidth/. Thi...
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the N...
Most recently proposed bandwidth selectors in kernel density estimation have been developed with int...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
In the present paper we combine the issues of bandwidth choice and construction of confidence interv...
We propose two novel bandwidth selection procedures for the nonparametric regression model with clas...
This paper addresses the selection of smoothing parameters for estimating the average treatment effe...
Härdle W, Marron JS. Optimal Bandwidth Selection in Nonparametric Regression Function Estimation. Th...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectr...
We consider the problem of bandwidth selection by cross-validation from a sequential point of view i...
We investigate an automatic method of determining a local bandwidth for nonparametric kernel spectra...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...
AbstractCross-validation methodologies have been widely used as a means of selecting tuning paramete...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...
http://demonstrations.wolfram.com/NonparametricDensityEstimationRobustCrossValidationBandwidth/. Thi...
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the N...
Most recently proposed bandwidth selectors in kernel density estimation have been developed with int...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
In the present paper we combine the issues of bandwidth choice and construction of confidence interv...
We propose two novel bandwidth selection procedures for the nonparametric regression model with clas...
This paper addresses the selection of smoothing parameters for estimating the average treatment effe...
Härdle W, Marron JS. Optimal Bandwidth Selection in Nonparametric Regression Function Estimation. Th...
Least squares cross-validation (CV) methods are often used for automated bandwidth selection. We sho...
We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectr...
We consider the problem of bandwidth selection by cross-validation from a sequential point of view i...
We investigate an automatic method of determining a local bandwidth for nonparametric kernel spectra...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...
AbstractCross-validation methodologies have been widely used as a means of selecting tuning paramete...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression mode...