Wei Lin

9 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-7598-6199

School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, China

Publications

• CARE: Large Precision Matrix Estimation for Compositional Data — Journal of the American Statistical Association 2025
• Nonsparse Learning with Latent Variables — Operations Research 2021
• Large Covariance Estimation for Compositional Data Via Composition-Adjusted Thresholding — Journal of the American Statistical Association 2019
• When should modes of inference disagree? Some simple but challenging examples — The Annals of Applied Statistics 2018 (name-matched, not ORCID-linked)
• Two-sample tests of high-dimensional means for compositional data — Biometrika 2018
• Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics — Journal of the American Statistical Association 2015
• Variable selection in regression with compositional covariates — Biometrika 2014
• High-Dimensional Sparse Additive Hazards Regression — Journal of the American Statistical Association 2013
• Identifiability of single-index models and additive-index models — Biometrika 2007 (name-matched, not ORCID-linked)