Minimax Rates of Estimation for Sparse PCA in High Dimensions

Vincent Q. Vu, Jing Lei

We study sparse principal components analysis in the high-dimensional setting, where $p$ (the number of variables) can be much larger than $n$ (the number of observations). We prov…