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…