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stat.ME2013★ 17 cited
QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization
Jianqing Fan, Zheng Tracy Ke, Han Liu +1
We propose a novel Rayleigh quotient based sparse quadratic dimension reduction method - named QUADRO (Quadratic Dimension Reduction via Rayleigh Optimization) - for analyzing high…
stat.ME2013
Smooth projected density estimation
Heather Battey, Han Liu
We introduce and analyse a new nonparametric estimator of a multi-dimensional density. Our smooth projection estimator (SPE) is defined by a least squares projection of the sample…
stat.ME2013
Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, using Sparse Linear Programming
Michael Rosenblum, Han Liu, and En-Hsu Yen
We propose new, optimal methods for analyzing randomized trials, when it is suspected that treatment effects may differ in two predefined subpopulations. Such sub-populations could…