3 papers
stat.ME2026
MATCH: Multiplier-Assisted Tests for Conditional Hypotheses in Non-Euclidean Data
Leheng Cai, Xu Guo, Qirui Hu
We propose a new procedure MATCH (Multiplier-Assisted Tests for Conditional Hypotheses) to test whether the non-Euclidean data match the target model, which is a general framework…
stat.ME2024
Statistical inference for high-dimensional convoluted rank regression
Leheng Cai, Xu Guo, Heng Lian +1
High-dimensional penalized rank regression is a powerful tool for modeling high-dimensional data due to its robustness and estimation efficiency. However, the non-smoothness of the…
stat.ME2022
Test and Measure for Partial Mean Dependence Based on Machine Learning Methods
Leheng Cai, Xu Guo, Wei Zhong
It is of importance to investigate the significance of a subset of covariates for the response given covariates in regression modeling. To this end, we propose a signif…