Multiple Hypothesis Testing for Variable Selection

Summary We propose two new procedures based on multiple hypothesis testing for correct support estimation in high‐dimensional sparse linear models. We conclusively prove that both procedures are powerful and do not require the sample size to be large. The first procedure tackles the atypical setting... View More