Sparse estimation in semiparametric finite mixture of varying coefficient regression models

DOI10.1111/BIOM.13870zbMATH Open1543.62603MaRDI QIDQ6589289

Abbas Khalili, Masoud Asgharian, Shili Lin, Farhad Shokoohi

Publication date: 19 August 2024

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

penalized likelihoodfinite mixture of regressionsnonparametric modelslocal-kernel likelihood

Mathematics Subject Classification ID

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

Cites Work

• Nearly unbiased variable selection under minimax concave penalty
• The Adaptive Lasso and Its Oracle Properties
• Valid post-selection inference
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• Nonparametric Mixture of Regression Models
• Variable selection and estimation in high-dimensional varying-coefficient models
• Variable Selection in Finite Mixture of Regression Models
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Finite mixture models
• Statistical Inference and Applications of Mixture of Varying Coefficient Models
• Shrinkage Estimation of the Varying Coefficient Model
• Model Selection and Estimation in Regression with Grouped Variables
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