Asymptotic properties of the conditional hazard function estimator from censored functional ergodic data
In this paper, we study the properties asymptotic of the kernel type estimator of the conditional hazard function from the fraction of the conditional density and the conditional distribution function in the case of a censored response given a functional explanatory variable. Under ergodicity condition, we establish the rate of almost sure convergence and the asymptotic normality of the proposed estimator.
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