Sliced inverse regression (SIR) is an innovative and effective method for dimension reduction and data visualization of high-dimensional problems. It replaces the original variables with ...
Statistical Science, Vol. 27, No. 4, Special Issue on Sparsity and Regularization Methods (November 2012), pp. 558-575 (18 pages) Consider a regression model with fixed design and Gaussian noise where ...
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