32 citations · 155 across the 38 of their papers we have counts for
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stat.ME2019★ 1 cited
A New Framework for Distance and Kernel-based Metrics in High Dimensions
Shubhadeep Chakraborty, Xianyang Zhang
The paper presents new metrics to quantify and test for (i) the equality of distributions and (ii) the independence between two high-dimensional random vectors. We show that the en…
stat.ME2019★ 1 cited
Covariate Adaptive False Discovery Rate Control with Applications to Omics-Wide Multiple Testing
Xianyang Zhang, Jun Chen
Conventional multiple testing procedures often assume hypotheses for different features are exchangeable. However, in many scientific applications, additional covariate information…
math.ST2019★ 10 cited
Distance-based and RKHS-based Dependence Metrics in High Dimension
Changbo Zhu, Shun Yao, Xianyang Zhang +1
In this paper, we study distance covariance, Hilbert-Schmidt covariance (aka Hilbert-Schmidt independence criterion [Gretton et al. (2008)]) and related independence tests under th…