Nonparametric Recursive Method for Kernel-Type Function Estimators for Censored Data Estimators for Censored Data

Published in Journal of Stochastic Analysis, 2020

S. Bouzebda and S. Slaoui

In the present paper, we study general kernel type estimatorsfor censored data defined by the stochastic approximation algorithm. We establish a central limit theorem for the proposed estimators. We characterize the strong pointwise convergence rate for the nonparametric recursive general kernel-type estimators under some mild conditions.

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