Add to ORKGAll in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
This paper is concerned with data-based selection of the bandwidth for a data sharpening estimator i...
In contrast to the traditional kernel density estimate which is totally nonparametric, if one has a ...
25 pages, 1 article*Bandwidth Selection for Kernel Distribution Function Estimation* (Altman, Naomi;...
In this paper, we consider the problem of bandwidth choice in the parallel settings of nonparametric...
The unknown error density of a nonparametric regression model is approximated by a mixture of Gaussi...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
9 pages, 1 article*A Note on Bandwidth Selection in Kernel Distribution Function Estimation* (Altman...
Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation w...
Härdle W, Marron JS. Optimal Bandwidth Selection in Nonparametric Regression Function Estimation. Th...
Title Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimati...
This note concerns kernel density estimation at a point. It is shown that under a wide variety of ci...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
nonparametric density estimation, kernel estimate, dependent data, continuous time, asymptotic varia...
Nonparametric kernel density estimation method makes no assumptions on the functional form of the cu...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
This paper is concerned with data-based selection of the bandwidth for a data sharpening estimator i...
In contrast to the traditional kernel density estimate which is totally nonparametric, if one has a ...
25 pages, 1 article*Bandwidth Selection for Kernel Distribution Function Estimation* (Altman, Naomi;...
In this paper, we consider the problem of bandwidth choice in the parallel settings of nonparametric...
The unknown error density of a nonparametric regression model is approximated by a mixture of Gaussi...
AbstractThis note concentrates on the nonparametric estimation of a probability mass function (p.m.f...
9 pages, 1 article*A Note on Bandwidth Selection in Kernel Distribution Function Estimation* (Altman...
Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation w...
Härdle W, Marron JS. Optimal Bandwidth Selection in Nonparametric Regression Function Estimation. Th...
Title Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimati...
This note concerns kernel density estimation at a point. It is shown that under a wide variety of ci...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
nonparametric density estimation, kernel estimate, dependent data, continuous time, asymptotic varia...
Nonparametric kernel density estimation method makes no assumptions on the functional form of the cu...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
This paper is concerned with data-based selection of the bandwidth for a data sharpening estimator i...
In contrast to the traditional kernel density estimate which is totally nonparametric, if one has a ...