59 citations · 74 across the 16 of their papers we have counts for
Showing 2023 · stat.MEShow all
3 papers · 2 filters
stat.ME2023
Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources
Shuyuan Wu, Xuening Zhu, Hansheng Wang
Modern statistical analysis often encounters datasets with large sizes. For these datasets, conventional estimation methods can hardly be used immediately because practitioners oft…
stat.ME2023★ 2 cited
Distributed Logistic Regression for Massive Data with Rare Events
Xuetong Li, Xuening Zhu, Hansheng Wang
Large-scale rare events data are commonly encountered in practice. To tackle the massive rare events data, we propose a novel distributed estimation method for logistic regression…
stat.ME2023
Network Autoregression for Incomplete Matrix-Valued Time Series
Xuening Zhu, Feifei Wang, Zeng Li +1
We study the dynamics of matrix-valued time series with observed network structures by proposing a matrix network autoregression model with row and column networks of the subjects.…