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Data sharpening via firth’s adjusted score function

Author

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  • Braun, W. John
  • Stafford, James
  • Brown, Patrick

Abstract

Data sharpening can reduce bias in non-parametric regression and density estimation. Firth’s (1993) approach to bias reduction through adjustment of the score function provides an underlying framework for data sharpening and extensions, such as sharpened derivative estimation in kernel regression.

Suggested Citation

  • Braun, W. John & Stafford, James & Brown, Patrick, 2020. "Data sharpening via firth’s adjusted score function," Statistics & Probability Letters, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:stapro:v:165:y:2020:i:c:s0167715220301346
    DOI: 10.1016/j.spl.2020.108831
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    References listed on IDEAS

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    1. Hassan Doosti & Peter Hall, 2016. "Making a non-parametric density estimator more attractive, and more accurate, by data perturbation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(2), pages 445-462, March.
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