Feature screening in ultrahigh-dimensional partially linear models with missing responses at random

DOI10.1016/j.csda.2018.10.003OpenAlexW2896587650MaRDI QIDQ1727907

Linli Xia, Xiaodong Yan, Nian Sheng Tang

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.10.003

zbMATH Keywords

missing at randomestimating equationspartially linear modelssure screening propertyultrahigh dimensional longitudinal data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Quantile regression of ultra-high dimensional partially linear varying-coefficient model with missing observations ⋮ Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random ⋮ A nonparametric feature screening method for ultrahigh-dimensional missing response ⋮ Sure independence screening in the presence of missing data

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