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math.ST2026
Asymptotic Theory for Combining Dependent -Values for Global Hypothesis Testing
Haoyi Yang, Lingzhou Xue
Combining -values is a fundamental procedure in global hypothesis testing. In modern high-dimensional settings, however, component -values often exhibit complex dependence an…
math.ST2022
Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net
Teng Zhang, Haoyi Yang, Lingzhou Xue
Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis. Despite many methodological and the…