Structural adaptation in the density model

Abstract

This paper deals with nonparametric density estimation on ${\mathbb{R}}^2$ from i.i.d. observations. It is assumed that after unknown rotation of the coordinate system the coordinates of the observations are independent random variables whose densities belong to a Hölder class with unknown parameters. The minimax and adaptive minimax theories for this structural statistical model are developed.