Add to ORKGJump-preserving regression and smoothing using local linear fitting: a compromis
Local linear M-smoothing is proposed as a method for image processing. It is more appropriate than c...
Regression analysis is a method of estimating the mean of response variable as a function of other e...
none2Following Henderson (1916) who developed a smoothing measure as a function of the weight system...
Consistency, Jump-preserving estimation, Local linear fit, Nonparametric regression, Smoothing, Weig...
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
A new local smoothing procedure is suggested for jump-preserving surface reconstruction from noisy d...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
Kernel smoothing, Local linear regression, Semiparametric density estimation, Transformations,
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Abstract: There has been much justifiable recent interest in local polynomial regression, and in par...
In this article we study nonparametric regression quantile estimation by kernel weighted local linea...
The standard approach to local linear regression involves fitting a straight line segment to a curve...
AbstractWe consider the problem of estimating jump points in smooth curves. Observations (Xi,Yi) i=1...
Local linear M-smoothing is proposed as a method for image processing. It is more appropriate than c...
Regression analysis is a method of estimating the mean of response variable as a function of other e...
none2Following Henderson (1916) who developed a smoothing measure as a function of the weight system...
Consistency, Jump-preserving estimation, Local linear fit, Nonparametric regression, Smoothing, Weig...
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
A new local smoothing procedure is suggested for jump-preserving surface reconstruction from noisy d...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
Kernel smoothing, Local linear regression, Semiparametric density estimation, Transformations,
Abstract: Local linear kernel methods have been shown to dominate local constant methods for the non...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Abstract: There has been much justifiable recent interest in local polynomial regression, and in par...
In this article we study nonparametric regression quantile estimation by kernel weighted local linea...
The standard approach to local linear regression involves fitting a straight line segment to a curve...
AbstractWe consider the problem of estimating jump points in smooth curves. Observations (Xi,Yi) i=1...
Local linear M-smoothing is proposed as a method for image processing. It is more appropriate than c...
Regression analysis is a method of estimating the mean of response variable as a function of other e...
none2Following Henderson (1916) who developed a smoothing measure as a function of the weight system...