3 papers
stat.ME2023
Mitigating dimensionality effects with robust graph constructions for testing
Yejiong Zhu, Hao Chen
Dimensionality effects pose major challenges in high-dimensional and non-Euclidean data analysis. Graph-based two-sample tests and change-point detection are particularly attractiv…
math.ST2021
A note on the permutation distribution of generalized correlation coefficients
Yejiong Zhu, Hao Chen
We provide sufficient conditions for the asymptotic normality of the generalized correlation coefficient under the permutation null distribution when 's…
math.ST2021
Limiting distributions of graph-based test statistics on sparse and dense graphs
Yejiong Zhu, Hao Chen
Two-sample tests utilizing a similarity graph on observations are useful for high-dimensional and non-Euclidean data due to their flexibility and good performance under a wide rang…