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stat.ME2026
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage
Wenbo Jing, Xi Chen, Yaqi Duan +2
Modern statistical learning problems often involve multiple related data sets, where learning efficiency on a target set can be improved by utilizing related source sets, while het…
stat.ME2026
Generalized Rank Regression
Jiyuan Tu, Suqi Wu, Yichen Zhang +1
Rank regression offers robustness to outliers and heavy-tailed response distributions, invariance to monotonic transformations, and improved efficiency under non-Gaussian errors, m…
stat.ME2025
Distributed Tensor Principal Component Analysis with Data Heterogeneity
Elynn Chen, Xi Chen, Wenbo Jing +1
As tensors become widespread in modern data analysis, Tucker low-rank Principal Component Analysis (PCA) has become essential for dimensionality reduction and structural discovery…