7 citations · 7 across the 4 of their papers we have counts for
4 papers
Testing the Deviation of a High-dimensional Mean
Zengjing Chen, Ruihan Liu, Jianfeng Yao
This paper investigates the high-dimensional one-sample equivalence testing problem for a reference mean vector $\bbmu_0$: $H_0:\|\bbmu-\bbmu_0\|>d_0$ versus $H_1: \|\bbmu-\bbmu_0\…
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…
Testing High-dimensional Nonstationary Time Series
Ruihan Liu, Chen Wang
In this article, we first establish the joint central limit theorem (CLT) for the extreme eigenvalues of the sample correlation matrix of high-dimensional random walks with cross-s…
A machine learning approach for identifying the counterparts of submillimetre galaxies and applications to the GOODS-North field
Ruihan Henry Liu, Ryley Hill, Douglas Scott +7
Identifying the counterparts of submillimetre (submm) galaxies (SMGs) in multiwavelength images is a critical step towards building accurate models of the evolution of strongly sta…