Strong consistency of local linear estimation of a conditional density function under random censorship

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 $$\alp...

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Main Authors: Abdelkader Benkhaled, Fethi Madani, Salah Khardani
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Arabian Journal of Mathematics
Subjects:
Online Access:https://doi.org/10.1007/s40065-020-00282-1
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author Abdelkader Benkhaled
Fethi Madani
Salah Khardani
author_facet Abdelkader Benkhaled
Fethi Madani
Salah Khardani
author_sort Abdelkader Benkhaled
collection DOAJ
description 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.
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spelling doaj.art-821825a27bae44c6867cb8f3a403c4ed2022-12-21T22:46:23ZengSpringerOpenArabian Journal of Mathematics2193-53432193-53512020-05-019351352910.1007/s40065-020-00282-1Strong consistency of local linear estimation of a conditional density function under random censorshipAbdelkader Benkhaled0Fethi Madani1Salah Khardani2University Djilali Liabes of Sidi Bel AbbesLaboratory of Stochastic Models, Statistic and Applications (LMSSA), University Tahar Moulay of SaïdaLMPA, ULCO, University of LilleAbstract 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.https://doi.org/10.1007/s40065-020-00282-162G0562G0762G0862G3562G20
spellingShingle Abdelkader Benkhaled
Fethi Madani
Salah Khardani
Strong consistency of local linear estimation of a conditional density function under random censorship
Arabian Journal of Mathematics
62G05
62G07
62G08
62G35
62G20
title Strong consistency of local linear estimation of a conditional density function under random censorship
title_full Strong consistency of local linear estimation of a conditional density function under random censorship
title_fullStr Strong consistency of local linear estimation of a conditional density function under random censorship
title_full_unstemmed Strong consistency of local linear estimation of a conditional density function under random censorship
title_short Strong consistency of local linear estimation of a conditional density function under random censorship
title_sort strong consistency of local linear estimation of a conditional density function under random censorship
topic 62G05
62G07
62G08
62G35
62G20
url https://doi.org/10.1007/s40065-020-00282-1
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AT fethimadani strongconsistencyoflocallinearestimationofaconditionaldensityfunctionunderrandomcensorship
AT salahkhardani strongconsistencyoflocallinearestimationofaconditionaldensityfunctionunderrandomcensorship