Structural adaptation in the density model

This paper deals with non-parametric density estimation on $\bR^2$ 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 H\"older class with unknown parameters. The minimax and adaptive minimax theories for this structural statistical model are developed.