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stat.ME2025
Cross-Semantic Transfer Learning for High-Dimensional Linear Regression
Jiancheng Jiang, Xuejun Jiang, Hongxia Jin
Current transfer learning methods for high-dimensional linear regression assume feature alignment across domains, restricting their applicability to semantically matched features.…
stat.ME2025
Penalized Quasi-likelihood for High-dimensional Longitudinal Data via Within-cluster Resampling
Yue Ma, Haofeng Wang, Xuejun Jiang
The generalized estimating equation (GEE) method is a popular tool for longitudinal data analysis. However, GEE produces biased estimates when the outcome of interest is associated…
stat.ME2025★ 1 cited
Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size
Yue Ma, Haofeng Wang, Xuejun Jiang
High-dimensional longitudinal data have become increasingly prevalent in recent studies, and penalized generalized estimating equations (GEEs) are often used to model such data. Ho…