1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Reducing multivariate independence testing to two bivariate means comparisons
Kai Xu, Yeqing Zhou, Liping Zhu +1
Testing for independence between two random vectors is a fundamental problem in statistics. It is observed from empirical studies that many existing omnibus consistent tests may no…
math.ST2022
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
Fei Jiang, Yeqing Zhou, Jianxuan Liu +1
We study estimation and testing in the Poisson regression model with noisy high dimensional covariates, which has wide applications in analyzing noisy big data. Correcting for the…
stat.ME2018★ 1 cited
Model-Free Conditional Feature Screening with Exposure Variables
Yeqing Zhou, Jingyuan Liu, Zhihui Hao +1
In high dimensional analysis, effects of explanatory variables on responses sometimes rely on certain exposure variables, such as time or environmental factors. In this paper, to c…