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Reducing bias in curve estimation by use of weights

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  • Hall, Peter
  • Turlach, Berwin A.

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  • Hall, Peter & Turlach, Berwin A., 1999. "Reducing bias in curve estimation by use of weights," Computational Statistics & Data Analysis, Elsevier, vol. 30(1), pages 67-86, March.
    • Handle: RePEc:eee:csdana:v:30:y:1999:i:1:p:67-86
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    References listed on IDEAS

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    1. M. Jones & I. McKay & T. Hu, 1994. "Variable location and scale kernel density estimation," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(3), pages 521-535, September.
    2. P. Hall & B. Presnell, 1999. "Intentionally biased bootstrap methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 143-158.
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    Cited by:

    1. Hazelton, Martin L. & Turlach, Berwin A., 2007. "Reweighted kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3057-3069, March.
    2. Arthur Charpentier & Ewen Gallic, 2016. "Kernel density estimation based on Ripley’s correction," Post-Print halshs-01238499, HAL.
    3. Bhattacharjee, Arnab, 2004. "Estimation in hazard regression models under ordered departures from proportionality," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 517-536, October.
    4. Hazelton, Martin L., 2007. "Bias reduction in kernel binary regression," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4393-4402, May.
    5. Wei Liu & Li Yang & Bo Yu, 2022. "Kernel density estimation based distributionally robust mean-CVaR portfolio optimization," Journal of Global Optimization, Springer, vol. 84(4), pages 1053-1077, December.
    6. Mazo, Gildas & Averyanov, Yaroslav, 2019. "Constraining kernel estimators in semiparametric copula mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 170-189.
    7. Zdravko I. Botev & Dirk P. Kroese, 2011. "The Generalized Cross Entropy Method, with Applications to Probability Density Estimation," Methodology and Computing in Applied Probability, Springer, vol. 13(1), pages 1-27, March.
    8. Jones, M.C. & Henderson, D.A., 2009. "Maximum likelihood kernel density estimation: On the potential of convolution sieves," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3726-3733, August.

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