Adaptive estimators for nonparametric heteroscedastic regression models
Résumé
This paper deals with the estimation of a regression function at a given point in nonparametric heteroscedastic regression models with Gaussian noise. An adaptive kernel estimator which attains the minimax rate is constructed for the minimax absolute error risk.
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