Sparse pathway-based prediction models for high-throughput molecular data

DOI10.1016/j.csda.2018.04.012zbMath1469.62095OpenAlexW2801117500WikidataQ129868218 ScholiaQ129868218MaRDI QIDQ1663097

Yudi Pawitan, Sangin Lee, Youngjo Lee

Publication date: 21 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2018.04.012

zbMATH Keywords

hierarchical likelihoodrandom-effect modeloverlapping groupsstructured variable selection

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear inference, regression (62Jxx)

Cites Work

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• Smoothly Clipped Absolute Deviation on High Dimensions
• Model Selection and Estimation in Regression with Grouped Variables
• Double Hierarchical Generalized Linear Models (With Discussion)
• Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

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