Boosting Kernel Density Estimates: a Bias Reduction Technique?

نویسندگان

  • Marco Di Marzio
  • Charles C. Taylor
چکیده

SUMMARY This paper proposes an algorithm for boosting kernel density estimates. We show that boosting is closely linked to a previously proposed method of bias reduction and indicate how it should enjoy similar properties. Numerical examples and simulations are used to illustrate the findings, and we also suggest further areas of research.

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تاریخ انتشار 2003