Local linear estimation of conditional probability density and mode under right censoring and left truncation: dependent data case

Abstract

In this work, we propose a local linear estimator of the conditional density and mode when the covariate is functional, using the right-censored and left-truncated data model. Under conditions of weak dependence, we study the almost sure pointwise convergence of the proposed estimators and then evaluate their performance on simulated datasets.