Add to ORKG25 pages, 1 article*Bandwidth Selection for Kernel Distribution Function Estimation* (Altman, Naomi; Leger, Christian) 25 page
International audienceIt is well established that one can improve performance of kernel density esti...
A class of data-based bandwidth selection procedures for kernel density estimation is investigated. ...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
9 pages, 1 article*A Note on Bandwidth Selection in Kernel Distribution Function Estimation* (Altman...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
A crucial problem in kernel density estimates of a probability density function is the selection of ...
We investigate methods of bandwidth selection in kernel density estimation for a wide range of kerne...
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...
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...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
In this investigation, the problem of estimating the probability density function of a function of m...
We present a new method for data-based selection of the bandwidth in kernel density estimation which...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
International audienceIt is well established that one can improve performance of kernel density esti...
A class of data-based bandwidth selection procedures for kernel density estimation is investigated. ...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
9 pages, 1 article*A Note on Bandwidth Selection in Kernel Distribution Function Estimation* (Altman...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
A crucial problem in kernel density estimates of a probability density function is the selection of ...
We investigate methods of bandwidth selection in kernel density estimation for a wide range of kerne...
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...
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...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
In this investigation, the problem of estimating the probability density function of a function of m...
We present a new method for data-based selection of the bandwidth in kernel density estimation which...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
International audienceIt is well established that one can improve performance of kernel density esti...
A class of data-based bandwidth selection procedures for kernel density estimation is investigated. ...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...