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On the almost everywhere properties of the kernel regression estimate

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  • Miroslaw Pawlak

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  • Miroslaw Pawlak, 1991. "On the almost everywhere properties of the kernel regression estimate," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(2), pages 311-326, June.
    • Handle: RePEc:spr:aistmt:v:43:y:1991:i:2:p:311-326
    DOI: 10.1007/BF00118638
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    References listed on IDEAS

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    1. Greblicki, Wlodzimierz & Pawlak, Miroslaw, 1987. "Necessary and sufficient consistency conditions for a recursive kernel regression estimate," Journal of Multivariate Analysis, Elsevier, vol. 23(1), pages 67-76, October.
    2. Mack, Y.P. & Mu¨ller, Hans-Georg, 1987. "Adaptive nonparametric estimation of a multivariate regression function," Journal of Multivariate Analysis, Elsevier, vol. 23(2), pages 169-183, December.
    3. Hall, Peter & Wand, Matthew P., 1988. "On the minimization of absolute distance in kernel density estimation," Statistics & Probability Letters, Elsevier, vol. 6(5), pages 311-314, April.
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    Cited by:

    1. Harro Walk, 2005. "Strong universal consistency of smooth kernel regression estimates," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(4), pages 665-685, December.

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