Resumen de Guided Censored Regression.

Majda Talamakrouni, Anouar El Ghouch, Ingrid Van Keilegom

• Parametrically guided non-parametric regression is an appealing method that can reduce the bias of a non-parametric regression function estimator without increasing the variance. In this paper, we adapt this method to the censored data case using an unbiased transformation of the data and a local linear fit. The asymptotic properties of the proposed estimator are established, and its performance is evaluated via finite sample simulations.