Inférence statistique dans le cas d'observations censurées

Abstract

In this work, we are interested in two non-parametric methods of the regression function. Namely the method of least squares and the penalized least squares. Our contribution is in the fact that we extended these methods if the variable answer is subjected to a mixed censure. We showed that the introduced estimators almost surely converge towards the optimal value.