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Uniform limit laws of the logarithm for nonparametric estimators of the regression function in presence of censored data

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Abstract

In this paper, we establish uniform-in-bandwidth limit laws of the logarithm for nonparametric Inverse Probability of Censoring Weighted (I.P.C.W.) estimators of the multivariate regression function under random censorship. A similar result is deduced for estimators of the conditional distribution function. The uniform-in-bandwidth consistency for estimators of the conditional density and the conditional hazard rate functions are also derived from our main result. Moreover, the logarithm laws we establish are shown to yield almost sure simultaneous asymptotic confidence bands for the functions we consider. Examples of confidence bands obtained from simulated data are displayed.

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Authors and Affiliations

  1. LSTA, Université Paris 6, Paris, France

    B. Maillot

  2. Unité de biostatistique et d’épidémiologie, Université Paris Descartes, Paris, France

    V. Viallon

Authors
  1. B. Maillot
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  2. V. Viallon
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Correspondence to B. Maillot.

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Maillot, B., Viallon, V. Uniform limit laws of the logarithm for nonparametric estimators of the regression function in presence of censored data. Math. Meth. Stat. 18, 159–184 (2009). https://doi.org/10.3103/S1066530709020045

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  • DOI: https://doi.org/10.3103/S1066530709020045

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