Abstract

We tackle the problem of estimating a regression function observed in an instrumental regression framework. This model is considered here as an inverse problem with unknown operator. After considering different ways of turning standard estimation methods into adaptive procedure, we finally provide a spectral cut-off estimation procedure which enables to derive oracle inequalities which warrants that our estimate, built without any prior knowledge, behaves as well as if the best model were known.