66 citations · 112 across the 6 of their papers we have counts for
4 papers · 1 filter
On efficient dimension reduction with respect to a statistical functional of interest
Wei Luo, Bing Li, Xiangrong Yin
We introduce a new sufficient dimension reduction framework that targets a statistical functional of interest, and propose an efficient estimator for the semiparametric estimation…
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…
A Note on Sliced Inverse Regression with Regularizations
Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard
In "Li, L. and Yin, X. (2008). Sliced Inverse Regression with Regularizations. Biometrics, 64(1):124--131" a ridge SIR estimator is introduced as the solution of a minimization pro…
On surrogate dimension reduction for measurement error regression: An invariance law
Bing Li, Xiangrong Yin
We consider a general nonlinear regression problem where the predictors contain measurement error. It has been recently discovered that several well-known dimension reduction metho…