Oracle Inequality for Instrumental Variable Regression
| dc.creator | Loubes, Jean-Michel | |
| dc.creator | Marteau, Clément | |
| dc.date | 2009-01-27 | |
| dc.date.accessioned | 2026-07-07T12:34:56Z | |
| dc.date.available | 2026-07-07T12:34:56Z | |
| dc.description | We tackle the problem of estimating a regression function observed in an instrumental regression framework. This model is an inverse problem with unknown operator. We 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, up to $\log$ term, if the best model were known. | |
| dc.identifier | https://arxiv.org/abs/0901.4321 | |
| dc.identifier | http://arxiv.org/abs/0901.4321 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/217618 | |
| dc.subject | Statistics Theory | |
| dc.subject | 62G05; 62G20 | |
| dc.title | Oracle Inequality for Instrumental Variable Regression | |
| dc.type | text |