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
Novel Subsampling Strategies for Heavily Censored Reliability Data
Yixiao Ruan, Zan Li, Zhaohui Li +3
Computational capability often falls short when confronted with massive data, posing a common challenge in establishing a statistical model or statistical inference method dealing…
cs.LG2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Zheyi Fan, Zhaohui Li, Jingyan Wang +3
Because of the widespread existence of noise and data corruption, recovering the true regression parameters with a certain proportion of corrupted response variables is an essentia…