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A note on modified cross-validation in density estimation

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  • Feluch, W.
  • Koronacki, J.

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  • Feluch, W. & Koronacki, J., 1992. "A note on modified cross-validation in density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 13(2), pages 143-151, March.
    • Handle: RePEc:eee:csdana:v:13:y:1992:i:2:p:143-151
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    Cited by:

    1. Max Köhler & Anja Schindler & Stefan Sperlich, 2014. "A Review and Comparison of Bandwidth Selection Methods for Kernel Regression," International Statistical Review, International Statistical Institute, vol. 82(2), pages 243-274, August.
    2. Barbeito, Inés & Cao, Ricardo, 2016. "Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 130-147.
    3. Nils-Bastian Heidenreich & Anja Schindler & Stefan Sperlich, 2013. "Bandwidth selection for kernel density estimation: a review of fully automatic selectors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 403-433, October.
    4. Srihera, Ramidha & Stute, Winfried, 2011. "Kernel adjusted density estimation," Statistics & Probability Letters, Elsevier, vol. 81(5), pages 571-579, May.
    5. Semeyutin, Artur & O’Neill, Robert, 2019. "A brief survey on the choice of parameters for: “Kernel density estimation for time series data”," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

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