Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis

DOI10.1002/bimj.202100139MaRDI QIDQ6149254

Binyan Jiang, Unnamed Author, Unnamed Author

Publication date: 4 March 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

splinessemiparametric modelsinteractionadaptive lassogroup penalty

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Penalized methods for bi-level variable selection
• The Adaptive Lasso and Its Oracle Properties
• Valid post-selection inference
• A lasso for hierarchical interactions
• Variable selection for single-index varying-coefficient model
• Penalized least squares for single index models
• Consistent group selection in high-dimensional linear regression
• Statistical inference for a single-index varying-coefficient model
• Model detection and estimation for single-index varying coefficient model
• High dimensional single index models
• Optimal smoothing in single-index models
• IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data
• A Semiparametrically Efficient Estimator of Single-index Varying Coefficient Cox Proportional Hazards Models
• Variable selection and estimation in high-dimensional varying-coefficient models
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Estimation for a partially linear single-index varying-coefficient model
• Model Selection and Estimation in Regression with Grouped Variables

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