Optimum bandwidths and kernels for estimating certain discontinuous densities
- B. Ghosh
- Wei-Min Huang
DOIAbstract
Estimation of discontinuous densities, alternative notions of IMSE, modified kernel density estimates, optimal bandwidths, optimal kernels,
Estimation of discontinuous densities, alternative notions of IMSE, modified kernel density estimates, optimal bandwidths, optimal kernels,
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
It is well-established that one can improve performance of kernel density estimates by varying the b...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
We derive optimal bandwidths for kernel density estimators of functions of observations proposed in ...
We derive optimal bandwidths for kernel density estimators of functions of observations proposed in ...
An approximate necessary condition for the optimal bandwidth choice is derived. This condition is us...
Kernel density estimation, mean integrated squared error, optimal kernel, regular variation,
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
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...
Abstract. Some linkages between kernel and penalty methods of density estimation are explored. It is...
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...
This paper focuses on the bandwidth selection in the kernel density estimation in the univariate cas...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
It is well-established that one can improve performance of kernel density estimates by varying the b...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
We derive optimal bandwidths for kernel density estimators of functions of observations proposed in ...
We derive optimal bandwidths for kernel density estimators of functions of observations proposed in ...
An approximate necessary condition for the optimal bandwidth choice is derived. This condition is us...
Kernel density estimation, mean integrated squared error, optimal kernel, regular variation,
This paper gives asymptotically best data based choices of the bandwidth of the kernel density estim...
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...
Abstract. Some linkages between kernel and penalty methods of density estimation are explored. It is...
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...
This paper focuses on the bandwidth selection in the kernel density estimation in the univariate cas...
A bandwidth selection method is proposed for kernel density estimation. This is based on the straigh...
Recently, much progress has been made on understanding the bandwidth selection problem in kernel den...
It is well-established that one can improve performance of kernel density estimates by varying the b...
We explore an L2 modification of an L1-based method for automatic band width selection for kernel de...
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