Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models
From MaRDI portal
Publication:5086169
DOI10.1080/03610918.2017.1387663OpenAlexW2962823220MaRDI QIDQ5086169
Minh-Ngoc Tran, Dao Thanh Tung, Tran Manh Cuong
Publication date: 1 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1608.08347
Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)
Related Items (2)
Flexible multivariate regression density estimation ⋮ Sparse linear mixed model selection via streamlined variational Bayes
Cites Work
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- Bayesian adaptive Lasso
- Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation
- Fixed-form variational posterior approximation through stochastic linear regression
- A coordinate gradient descent method for nonsmooth separable minimization
- Accuracy of Laplace approximation for discrete response mixed models
- The composite absolute penalties family for grouped and hierarchical variable selection
- BAYESIAN HYPER-LASSOS WITH NON-CONVEX PENALIZATION
- Conditional Akaike information under generalized linear and proportional hazards mixed models
- The Bayesian Lasso
- A likelihood-based method for analysing longitudinal binary responses
- Model Selection and Estimation in Regression with Grouped Variables
This page was built for publication: Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models