Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

DOI10.1080/24754269.2018.1522574OpenAlexW2894168963MaRDI QIDQ5879963

Fang Fang, Lyu Ni

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2018.1522574

zbMATH Keywords

missing at randommissing covariatesfeature screening

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Model free feature screening for ultrahigh dimensional data with responses missing at random
• Adjusted Pearson chi-square feature screening for multi-classification with ultrahigh dimensional data
• Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification
• How to Make Model‐free Feature Screening Approaches for Full Data Applicable to the Case of Missing Response?
• Sure Independence Screening for Ultrahigh Dimensional Feature Space

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