2 papers
stat.ME2026
Conformalized Robust Principal Component Analysis
Liangliang Yuan, Lei Wang, Quan Kong +1
Robust principal component analysis (RPCA) is a widely used technique for recovering low-rank structure from matrices with missing entries and sparse, possibly large-magnitude corr…
stat.ME2026
Rank-based Maxsum test for high dimensional regression coefficient
Ping Zhao, Liangliang Yuan
We study global inference for regression coefficients in high-dimensional linear models under potentially heavy-tailed errors. While sum-type tests are powerful for dense alternati…