3 papers
stat.ME2026
Transfer Learning for Linear Discriminant Analysis with a Shared Classification Signal
Yonghan Zhang, Yimeng Fan, Wenya Luo +1
This paper studies transfer learning for linear discriminant analysis in high-dimensional two-class classification. We consider one target domain and several source domains, where…
stat.ME2026
The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
Jiang Hu, Jiahui Xie, Yangchun Zhang +1
Standard methods for determining the number of factors often overestimate the true number when data exhibit heavy-tailed randomness, misinterpreting noise-induced outliers as genui…
stat.ML2025
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
Yonghan Zhang, Zhangni Pu, Lu Yan +1
Regularized linear discriminant analysis (RLDA) is a widely used tool for classification and dimensionality reduction, but its performance in high-dimensional scenarios is inconsis…