Supplemental material
Journal of the American Statistical Association
Volume 119, 2024 - Issue 546
Theory and Methods
Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity
Junlong Zhaoa School of Statistics, Beijing Normal University, Beijing, China
https://orcid.org/0000-0002-1606-7723View further author information
https://orcid.org/0000-0002-1606-7723View further author information, & Yufeng Liub Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NCCorrespondence[email protected]
https://orcid.org/0000-0002-1686-0545View further author information
https://orcid.org/0000-0002-1686-0545View further author informationRelated Research Data
Estimation of Linear Functionals in High Dimensional Linear Models: From Sparsity to Non-sparsity
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