Weighted multiple blockwise imputation method for high-dimensional regression with blockwise missing data

DOI10.1080/00949655.2022.2109636OpenAlexW4292998486MaRDI QIDQ5887986

Song Chen, Unnamed Author, Kuangnan Fang, Qing-Zhao Zhang

Publication date: 21 April 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2022.2109636

zbMATH Keywords

sparse linear regressionweighted sum formulablockwise missing datamultiple blockwise imputation

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• hmi

Cites Work

• Unnamed Item
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• Improving estimation efficiency for regression with MNAR covariates
• MALMEM: Model Averaging in Linear Measurement Error Models
• A Generalization of Sampling Without Replacement From a Finite Universe
• Integrating Multisource Block-Wise Missing Data in Model Selection

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