Bandwidth Selection for Weighted Kernel Density Estimation

@inproceedings{Wang2007BandwidthSF,
  title={Bandwidth Selection for Weighted Kernel Density Estimation},
  author={Bin Wang and Xiaofeng Wang},
  year={2007}
}
Abstract: Weighted kernel-density estimates (wKDE) are broadly used in many statistical areas, for instant, density estimation under right-censoring. However, bandwidth selection could be a problem by reweighting the kernels. In this paper, we investigate the methods of bandwidth selection for wKDE. Three mean integrated squared error based bandwidth selection methods are introduced. The least-squares cross-validation method, the adaptive weight kernel density estimator and boundary problems… CONTINUE READING

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