Strong consistency of local linear estimation of a conditional density function under random censorship
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Abstract In this paper, we study nonparametric local linear estimation of the conditional density of a randomly censored scalar response variable given a functional random covariate. We establish under general conditions the pointwise almost sure convergence with rates of this estimator under $$\alpha $$ α -mixing dependence. Finally, to show interests of our results, on the practical point of view, we have conducted a computational study, first on a simulated data and, then on some real data concerning Kidney transplant data.
2018 ◽
Vol 31
(1)
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pp. 175-195
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2014 ◽
Vol 73
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pp. 53-68
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2017 ◽
Vol 47
(14)
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pp. 3418-3440
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2019 ◽
Vol 48
(15)
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pp. 3816-3835
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2018 ◽
Vol 28
(2)
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pp. 217-240
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