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A data-based algorithm for choosing the window width when estimating the density at a point

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  • Sheather, Simon

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  • Sheather, Simon, 1983. "A data-based algorithm for choosing the window width when estimating the density at a point," Computational Statistics & Data Analysis, Elsevier, vol. 1(1), pages 229-238, March.
    • Handle: RePEc:eee:csdana:v:1:y:1983:i::p:229-238
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    Cited by:

    1. Luc Devroye & Gábor Lugosi, 1998. "Variable Kernel estimates: On the impossibility of tuning the parameters," Economics Working Papers 325, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Farmen, Mark & Marron, J. S., 1999. "An assessment of finite sample performance of adaptive methods in density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 30(2), pages 143-168, April.
    3. Chan, Ngai-Hang & Lee, Thomas C.M. & Peng, Liang, 2010. "On nonparametric local inference for density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 509-515, February.
    4. Ji Meng Loh & Woncheol Jang, 2010. "Estimating a cosmological mass bias parameter with bootstrap bandwidth selection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(5), pages 761-779, November.
    5. Oliveira, M. & Crujeiras, R.M. & Rodríguez-Casal, A., 2012. "A plug-in rule for bandwidth selection in circular density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3898-3908.

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