1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Xiaojun Mao, Hengfang Wang, Zhonglei Wang +1
Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe ma…
stat.ME2023★ 1 cited
Multiple bias-calibration for adjusting selection bias of non-probability samples using data integration
Zhonglei Wang, Shu Yang, Jae Kwang Kim
Valid statistical inference is challenging when the sample is subject to unknown selection bias. Data integration can be used to correct for selection bias when we have a parallel…
stat.ML2023
Transductive Matrix Completion with Calibration for Multi-Task Learning
Hengfang Wang, Yasi Zhang, Xiaojun Mao +1
Multi-task learning has attracted much attention due to growing multi-purpose research with multiple related data sources. Moreover, transduction with matrix completion is a useful…