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Showing 1 to 2 of 2 for “"Central subspace"”.
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Dimension reduction and efficient recommender system for large-scale complex data
… apply the transformation method to recover the central subspace. The proposed estimators are shown to be consistent and more efficient than the ones assuming independence. In addition, the estimated central subspace is also efficient when the correlation information is taken into account. We …
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Semiparametric Approaches for Dimension Reduction Through Gradient Descent on Manifold
… The method, gemDR, focuses on identifying the central mean subspace (CMS). Then gemDR is extended to CS-gemDR for central subspace (CS), through the empirical cumulative distribution function. CS-OPG, a modified outer product gradient (OPG) method for CS, is developed as an initial estimator …