collaborators

5 papers

math.ST2026

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.…

stat.ME2026

Statistical Validation of Computer Models: Global and Subdomain Hypothesis Testing

Chaoan Li, Xianyang Zhang, Rui Tuo

Computer simulations play an important role in scientific discovery and engineering innovation. Reliable computer models enable virtual experimentation that reduces the need for co…

math.ST2026

A Modern Theory for High-dimensional Cox Regression Models

Hanxuan Ye, Xianyang Zhang, Huijuan Zhou

The proportional hazards model has been extensively used in many fields such as biomedicine to estimate and perform statistical significance testing on the effects of covariates in…

stat.ME2025

Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing

Jian Yan, Zhuoxi Li, Xianyang Zhang

Testing the equality of two conditional distributions is crucial in various modern applications, including transfer learning and causal inference. Despite its importance, this fund…

stat.ME2025

A General Framework for Multiple Testing via E-value Aggregation and Data-Dependent Weighting

Guanxun Li, Xianyang Zhang

Motivated by recent findings in Li and Zhang (2025), which established an equivalence between certain p-value-based multiple testing procedures and the e-Benjamini-Hochberg procedu…