A review of Bayesian group selection approaches for linear regression models
From MaRDI portal
Publication:6602118
DOI10.1002/wics.1513zbMath1544.62087MaRDI QIDQ6602118
Publication date: 11 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Bayesian variable selection and estimation for group Lasso
- Stochastic matching pursuit for Bayesian variable selection
- Variable selection in nonparametric additive models
- Nonparametric regression using Bayesian variable selection
- Optimal predictive model selection.
- Support union recovery in high-dimensional multivariate regression
- Penalized regression, standard errors, and Bayesian Lassos
- Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers
- The Bayesian Lasso
- Model Selection and Estimation in Regression with Grouped Variables
- A selective review of group selection in high-dimensional models
This page was built for publication: A review of Bayesian group selection approaches for linear regression models