2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/170877The paper deals with asymptotic properties of the adaptive procedure proposed in the author paper, 2007, for estimating a unknown nonparametric regression. We prove that this procedure is asymptotically efficient for a quadratic risk, i.e. the asymptotic quadratic risk for this procedure coincides with the Pinsker constant which gives a sharp lower bound for the quadratic risk over all possible estimators.Statistics TheoryAdaptive asymptotically efficient estimation in heteroscedastic nonparametric regression via model selectiontext