27 citations · 29 across the 3 of their papers we have counts for
3 papers
stat.OT2022★ 1 cited
SMLE: An R Package for Joint Feature Screening in Ultrahigh-dimensional GLMs
Qianxiang Zang, Chen Xu, Kelly Burkett
The sparsity-restricted maximum likelihood estimator (SMLE) has received considerable attention for feature screening in ultrahigh-dimensional regression. SMLE is a computationally…
stat.ME2019★ 27 cited
Distributed Feature Screening via Componentwise Debiasing
Xingxiang Li, Runze Li, Zhiming Xia +1
Feature screening is a powerful tool in the analysis of high dimensional data. When the sample size and the number of features are both large, the implementation of classic…
stat.ML2015★ 1 cited
On the Feasibility of Distributed Kernel Regression for Big Data
Chen Xu, Yongquan Zhang, Runze Li
In modern scientific research, massive datasets with huge numbers of observations are frequently encountered. To facilitate the computational process, a divide-and-conquer scheme i…