32 citations · 49 across the 14 of their papers we have counts for
6 papers · 1 filter
Mirror and knockoff+ thresholds under dependence
Xianyang Zhang
Many multiple-testing procedures control the false discovery rate (FDR) by comparing the two tails of a null distribution. At a fixed cutoff, marginal symmetry makes this natural.…
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…
High Dimensional Robust Inference for Cox Regression Models
Shengchun Kong, Zhuqing Yu, Xianyang Zhang +1
We consider high-dimensional inference for potentially misspecified Cox proportional hazard models based on low dimensional results by Lin and Wei [1989]. A de-sparsified Lasso est…
Conditional Mean and Quantile Dependence Testing in High Dimension
Xianyang Zhang, Shun Yao, Xiaofeng Shao
Motivated by applications in biological science, we propose a novel test to assess the conditional mean dependence of a response variable on a large number of covariates. Our proce…
Simultaneous Inference for High-dimensional Linear Models
Xianyang Zhang, Guang Cheng
This paper proposes a bootstrap-assisted procedure to conduct simultaneous inference for high dimensional sparse linear models based on the recent de-sparsifying Lasso estimator (v…
Two sample inference for the second-order property of temporally dependent functional data
Xianyang Zhang, Xiaofeng Shao
Motivated by the need to statistically quantify the difference between two spatio-temporal datasets that arise in climate downscaling studies, we propose new tests to detect the di…