Selection of variables and dimension reduction in high-dimensional non-parametric regression

Karine Bertin, Guillaume Lecué

We consider a $l_1$-penalization procedure in the non-parametric Gaussian regression model. In many concrete examples, the dimension $d$ of the input variable $X$ is very large (so…