136 citations · 239 across the 24 of their papers we have counts for
5 papers · 1 filter
A new ranking scheme for modern data and its application to two-sample hypothesis testing
Doudou Zhou, Hao Chen
Rank-based approaches are among the most popular nonparametric methods for univariate data in tackling statistical problems such as hypothesis testing due to their robustness and e…
Graph-based multiple change-point detection
Yuxuan Zhang, Hao Chen
We propose a new multiple change-point detection framework for multivariate and non-Euclidean data. First, we combine graph-based statistics with wild binary segmentation or seeded…
A fast and effective kernel two-sample test for large-scale data
Hoseung Song, Hao Chen
Kernel two-sample tests have been widely used, and the development of efficient methods for high-dimensional, large-scale data is receiving increasing attention in the big data era…
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…
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…