Add to ORKGWe investigate methods of bandwidth selection in kernel density estimation for a wide range of kernels, both conventional and non-conventional
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
Allthough nonparametric kernel density estimation is nowadays a standard technique in explorative da...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
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 ...
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...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
We consider bandwidth selection for the kernel estimator of conditional density with one explanatory...
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
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...
There has been major progress in recent years in data-based bandwidth selection for kernel density e...
International audienceIt is well established that one can improve performance of kernel density esti...
Nonparametric kernel density estimation method makes no assumptions on the functional form of the cu...
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
Allthough nonparametric kernel density estimation is nowadays a standard technique in explorative da...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
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 ...
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...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
We consider bandwidth selection for the kernel estimator of conditional density with one explanatory...
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
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...
There has been major progress in recent years in data-based bandwidth selection for kernel density e...
International audienceIt is well established that one can improve performance of kernel density esti...
Nonparametric kernel density estimation method makes no assumptions on the functional form of the cu...
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
Allthough nonparametric kernel density estimation is nowadays a standard technique in explorative da...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...