• Corpus ID: 2205579

Progress in data-based bandwidth selection for kernel density estimation

@article{Jones1996ProgressID,
  title={Progress in data-based bandwidth selection for kernel density estimation},
  author={Chris Jones and J. S. Marron and Simon J. Sheather},
  journal={Computational Statistics},
  year={1996},
  volume={11},
  pages={337-381}
}
We review the extensive recent literature on automatic, data-based selection of a global smoothing parameter in univariate kernel density estimation. Proposals are presented in a unified framework, making considerable reference to their theoretical properties as we go. The results of a major simulation study of the practical performance of many of these methods are summarised. Also, our remarks are further consolidated by describing a small portion of our practical experience on real datasets… 

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