Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data

DOI10.1214/16-aoas912zbMath1400.62255OpenAlexW2490054008WikidataQ31130913 ScholiaQ31130913MaRDI QIDQ104771

Matthew Reimherr, Wanghuan Chu, Runze Li, Wanghuan Chu, Matthew Reimherr, Run-Ze Li

Publication date: 1 June 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1469199886

zbMATH Keywords

feature selectionfunctional linear modelgenome-wide association studylongitudinal predictor variablestime-varying coefficient modelsultrahigh-dimensional longitudinal data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

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Cites Work

• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Model-Free Feature Screening for Ultrahigh-Dimensional Data
• Sure independence screening in generalized linear models with NP-dimensionality
• Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data
• Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
• A functional data analysis approach for genetic association studies
• Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
• On varying-coefficient independence screening for high-dimensional varying-coefficient models
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Feature Screening via Distance Correlation Learning
• Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
• Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models