1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Qing Mai, Xiaofeng Shao, Runmin Wang +1
Sliced inverse regression (SIR, Li 1991) is a pioneering work and the most recognized method in sufficient dimension reduction. While promising progress has been made in theory and…
math.ST2023★ 1 cited
Adaptive Testing for High-dimensional Data
Yangfan Zhang, Runmin Wang, Xiaofeng Shao
In this article, we propose a class of -norm based U-statistics for a family of global testing problems related to high-dimensional data. This includes testing of mean vector…