3 papers
stat.AP2026
Adaptive Test Procedure for High Dimensional Regression Coefficient
Ping Zhao, Fengyi Song, Huifang Ma
We develop a unified -statistic testing framework for high-dimensional regression coefficients that adapts to unknown sparsity. The proposed statistics rank coordinate-wise evid…
stat.AP2026
Adaptive L-tests for high dimensional independence
Ping Zhao, Huifang Ma
Testing mutual independence among multiple random variables is a fundamental problem in statistics, with wide applications in genomics, finance, and neuroscience. In this paper, we…
stat.ME2025
Adaptive Test for High Dimensional Quantile Regression
Ping Zhao, Zhenyu Liu, Dan Zhuang
Testing high-dimensional quantile regression coefficients is crucial, as tail quantiles often reveal more than the mean in many practical applications. Nevertheless, the sparsity p…