270 citations · 574 across the 13 of their papers we have counts for
4 papers · 1 filter
Unweighted estimation based on optimal sample under measurement constraints
Jing Wang, HaiYing Wang, Shifeng Xiong
To tackle massive data, subsampling is a practical approach to select the more informative data points. However, when responses are expensive to measure, developing efficient subsa…
Optimal subsampling for quantile regression in big data
HaiYing Wang, Yanyuan Ma
We investigate optimal subsampling for quantile regression. We derive the asymptotic distribution of a general subsampling estimator and then derive two versions of optimal subsamp…
Divide-and-Conquer Information-Based Optimal Subdata Selection Algorithm
HaiYing Wang
The information-based optimal subdata selection (IBOSS) is a computationally efficient method to select informative data points from large data sets through processing full data by…
Optimal Subsampling for Large Sample Logistic Regression
HaiYing Wang, Rong Zhu, Ping Ma
For massive data, the family of subsampling algorithms is popular to downsize the data volume and reduce computational burden. Existing studies focus on approximating the ordinary…