9 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Maximum-Variance-Reduction Stratification for Improved Subsampling
Dingyi Wang, Haiying Wang, Qingpei Hu
Subsampling is a widely used and effective approach for addressing the computational challenges posed by massive datasets. Substantial progress has been made in developing non-unif…
stat.ME2024
Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data
Haixiang Zhang, HaiYing Wang
The technique of subsampling has been extensively employed to address the challenges posed by limited computing resources and meet the needs for expedite data analysis. Various sub…
stat.ML2020★ 9 cited
Logistic Regression for Massive Data with Rare Events
HaiYing Wang
This paper studies binary logistic regression for rare events data, or imbalanced data, where the number of events (observations in one class, often called cases) is significantly…