3 papers
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…
stat.ME2025
Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
Rui Ren, Haoyi Yang, Qian Xiao +2
Mediation analysis has become a widely used method for identifying the pathways through which an independent variable influences a dependent variable via intermediate mediators. Ho…
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…