A link-free sparse group variable selection method for single-index model

DOI10.1080/02664763.2016.1254731OpenAlexW2550056381MaRDI QIDQ5138715

Xuerong Meggie Wen, Li Xing Zhu, Bilin Zeng

Publication date: 4 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2016.1254731

zbMATH Keywords

variable selectionsufficient dimension reductionsingle-index modelsparse group Lassogene pathway analysis

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Bi-level feature selection in high dimensional AFT models with applications to a genomic study

Uses Software

• SLEP
• KEGG

Cites Work

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• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• Comment

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