Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Principled Inference in Dense High-Dimensional Linear Models via Local Conditional Sparsity
Wenjun Xiong, Yan Chen, Mingya Long +1
High-dimensional inference methods often rely on coefficient sparsity, an assumption that can be restrictive when signals are dense but individually weak. In such settings, valid i…
stat.ME2024
Functional knockoffs selection with applications to functional data analysis in high dimensions
Xinghao Qiao, Mingya Long, Qizhai Li
The knockoffs is a recently proposed powerful framework that effectively controls the false discovery rate (FDR) for variable selection. However, none of the existing knockoff solu…