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Penalized orthogonal-components regression for large p small n data
Empirical Bayes thresholding Latent-variable model Sparse predictors Supervised dimension reduction
2009/9/16
Here we propose a penalized orthogonal-components regression (POCRE) for large $p$ small $n$ data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlati...