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NaomiPerson
9 pages, 1 article*A Note on Bandwidth Selection in Kernel Distribution Function Estimation* (Altman, Naomi; Leger, Christian) 9 page
International audienceIt is well established that one can improve performance of kernel density esti...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
25 pages, 1 article*Bandwidth Selection for Kernel Distribution Function Estimation* (Altman, Naomi;...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
We investigate methods of bandwidth selection in kernel density estimation for a wide range of kerne...
A crucial problem in kernel density estimates of a probability density function is the selection of ...
In this investigation, the problem of estimating the probability density function of a function of m...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
Abstract: Given a density f we pose the problem of estimating the density functional ψr = f (r)f mak...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
Allthough nonparametric kernel density estimation is nowadays a standard technique in explorative da...
In kernel density estimation, the most crucial step is to select a proper bandwidth (smoothing param...
In this investigation, the problem of estimating the probability density function of a function of m...
This paper presents the bandwidth selection methods for local polynomial regression with Normal, Epa...
International audienceIt is well established that one can improve performance of kernel density esti...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
25 pages, 1 article*Bandwidth Selection for Kernel Distribution Function Estimation* (Altman, Naomi;...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
We investigate methods of bandwidth selection in kernel density estimation for a wide range of kerne...
A crucial problem in kernel density estimates of a probability density function is the selection of ...
In this investigation, the problem of estimating the probability density function of a function of m...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
Abstract: Given a density f we pose the problem of estimating the density functional ψr = f (r)f mak...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
Allthough nonparametric kernel density estimation is nowadays a standard technique in explorative da...
In kernel density estimation, the most crucial step is to select a proper bandwidth (smoothing param...
In this investigation, the problem of estimating the probability density function of a function of m...
This paper presents the bandwidth selection methods for local polynomial regression with Normal, Epa...
International audienceIt is well established that one can improve performance of kernel density esti...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
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