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    Minimax Rates of Estimation for Sparse PCA in High Dimensions
    11 years 7 months ago
    Minimax Rates of Estimation for Sparse PCA in High Dimensions
    Download  jmlr.csail.mit.edu
    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 prove o...
    Vincent Q. Vu, Jing Lei
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