Stable feature screening for ultrahigh dimensional data

DOI10.1016/J.JKSS.2018.11.003zbMath1416.62217OpenAlexW2903420883WikidataQ128851511 ScholiaQ128851511MaRDI QIDQ1740310

Peng Lai, Yufei Gao, Fengli Song

Publication date: 30 April 2019

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2018.11.003

zbMATH Keywords

conditional quantilesure screening propertyfeature screeningset-averagingultrahigh dimension

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (1)

Model-free survival conditional feature screening

Cites Work

• Model-Free Feature Screening for Ultrahigh-Dimensional Data
• Robust rank correlation based screening
• Correlation rank screening for ultrahigh-dimensional survival data
• Model free feature screening for ultrahigh dimensional data with responses missing at random
• Stable prediction in high-dimensional linear models
• Optimal Weight Choice for Frequentist Model Average Estimators
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Feature Screening via Distance Correlation Learning
• A Model-Averaging Approach for High-Dimensional Regression
• Conditional quantile screening in ultrahigh-dimensional heterogeneous data
• Combining Linear Regression Models

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