summary:For nonparametric estimation of a smooth regression function, local linear fitting is a widely-used method. The goal of this paper is to briefly review how to use this method when the unknown curve possibly has some irregularities, such as jumps or peaks, at unknown locations. It is then explained how the same basic method can be used when estimating unsmooth probability densities and conditional variance functions
This thesis presents a method for smoothing data based on local procedures. The method attempts to r...
We present a novel smoothing approach to non-parametric regression curve fitting. This is based on k...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
Consistency, Jump-preserving estimation, Local linear fit, Nonparametric regression, Smoothing, Weig...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
The Nadaraya-Watson nonparametric estimator of regression is known to be highly sensitive to the pre...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
The Nadaraya–Watson nonparametric estimator of regression is known to be highly sensitive to the pre...
Mrázek et al. [14] proposed a unified approach to curve estimation which combines localization and ...
Motivated by the advantages the local linear fitting method provides for estimation of den-sities ne...
Jump-preserving regression and smoothing using local linear fitting: a compromis
This thesis presents a method for smoothing data based on local procedures. The method attempts to r...
We present a novel smoothing approach to non-parametric regression curve fitting. This is based on k...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...
summary:For nonparametric estimation of a smooth regression function, local linear fitting is a wide...
This paper deals with nonparametric estimation of a regression curve, where the estimation method sh...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
Consistency, Jump-preserving estimation, Local linear fit, Nonparametric regression, Smoothing, Weig...
We suggest an adaptive, error-dependent smoothing method for reducing the variance of local-linear c...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
The Nadaraya-Watson nonparametric estimator of regression is known to be highly sensitive to the pre...
Following Henderson (1916) who developed a smoothing measure as a function of the weight system of a...
The Nadaraya–Watson nonparametric estimator of regression is known to be highly sensitive to the pre...
Mrázek et al. [14] proposed a unified approach to curve estimation which combines localization and ...
Motivated by the advantages the local linear fitting method provides for estimation of den-sities ne...
Jump-preserving regression and smoothing using local linear fitting: a compromis
This thesis presents a method for smoothing data based on local procedures. The method attempts to r...
We present a novel smoothing approach to non-parametric regression curve fitting. This is based on k...
Nonparametric regression with long-range, short-range and antipersistent errors is considered. Local...