2 papers
stat.ME2026
Alignment and matching tests for high-dimensional tensor signals via tensor contraction
Ruihan Liu, Zhenggang Wang, Jianfeng Yao
We consider two hypothesis testing problems for low-rank and high-dimensional tensor signals, namely the tensor signal alignment and tensor signal matching problems. These problems…
math.ST2025
A robust and p-hacking-proof significance test under variance uncertainty
Xifeng Li, Shuzhen Yang, Jianfeng Yao
P-hacking poses challenges to traditional hypothesis testing. In this paper, we propose a robust method for the one-sample significance test that can protect against p-hacking from…