25 citations · 25 across the 4 of their papers we have counts for
4 papers
Adjusting inverse regression for predictors with clustered distribution
Wei Luo, Yan Guo
A major family of sufficient dimension reduction (SDR) methods, called inverse regression, commonly require the distribution of the predictor to have a linear $E(X|β^\mathsf{T}…
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
Wei Luo, Lingzhou Xue, Jiawei Yao +1
We consider forecasting a single time series using a large number of predictors in the presence of a possible nonlinear forecast function. Assuming that the predictors affect the r…
Matching Using Sufficient Dimension Reduction for Causal Inference
Wei Luo, Yeying Zhu
To estimate casual treatment effects, we propose a new matching approach based on the reduced covariates obtained from sufficient dimension reduction. Compared to the original cova…
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…