Normalité asymptotique de l’estimateur à noyau de la fonction de régression pour des données censurées et associées
lundi 13 mars 2023, 14h00 - 15h00
Salle du conseil, espace Turing
The goal of this paper is to establish asymptotic normality of the kernel estimator of regression function, in the random right censored model for associated data.
An application to prediction and confidence bands are also given. Simulations are drawn to lend further support to our theoretical results for finite samples sizes.
