Conditional quantile estimation under LTRC model with functional regressors

dc.contributor.authorChemerik, Hamida
dc.contributor.authorGuessoum, Zohra
dc.date.accessioned2026-01-13T09:26:57Z
dc.date.issued2025
dc.description.abstractIn this paper, we study a kernel-based estimator of the conditional quantile function for a response variable Y subject to left truncation and right censoring (LTRC), with a functional covariate X. We establish the consistency properties with the rate of this estimator when the observations are independent and identically distributed. The performance of the proposed estimator is illustrated through simulations and a real-data application.
dc.identifier.issn1816 2711
dc.identifier.uriDOI: http://dx.doi.org/10.18187/pjsor.v21i4.4910
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/15921
dc.language.isoen_US
dc.publisherPJSOR
dc.relation.ispartofseriesPakistan Journal of Statistics and Operation Research / Vol. 21/ N°4 ; pp. 631-652
dc.subjectConditional quantile
dc.subjectConvergence rate
dc.subjectFunctional variable
dc.subjectKernel estimator
dc.subjectLTRC model
dc.titleConditional quantile estimation under LTRC model with functional regressors
dc.typeArticle

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