237 citations · 883 across the 24 of their papers we have counts for
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math.ST2012★ 66 cited
Sufficient dimension reduction based on an ensemble of minimum average variance estimators
Xiangrong Yin, Bing Li
We introduce a class of dimension reduction estimators based on an ensemble of the minimum average variance estimates of functions that characterize the central subspace, such as t…
math.ST2012★ 110 cited
Principal support vector machines for linear and nonlinear sufficient dimension reduction
Bing Li, Andreas Artemiou, Lexin Li
We introduce a principal support vector machine (PSVM) approach that can be used for both linear and nonlinear sufficient dimension reduction. The basic idea is to divide the respo…