6 citations · 6 across the 2 of their papers we have counts for
3 papers
stat.ME2025
Conformal Inference For Missing Data under Multiple Robust Learning
Wenlu Tang, Hongni Wang, Xingcai Zhou +2
We develop a novel approach to tackle the common but challenging problem of conformal inference for missing data in machine learning, focusing on Missing at Random (MAR) data. We p…
stat.ME2017★ 6 cited
Spearman Rank Correlation Screening for Ultrahigh-dimensional Censored Data
Hongni Wang, Jingxin Yan, Xiaodong Yan
Herein, we propose a Spearman rank correlation based screening procedure for ultrahigh-dimensional data with censored response case. The proposed method is model-free without speci…
stat.ME2016
Optimal model averaging forecasting in high-dimensional survival analysis
Xiaodong Yan, Hongni Wang, Wei Wang +3
This article considers ultrahigh-dimensional forecasting problems with survival response variables. We propose a two-step model averaging procedure for improving the forecasting ac…