Objective Bayesian group variable selection for linear model.
Sanggil KangWoo Dong LeeYongku KimPublished in: Comput. Stat. (2022)
Keyphrases
- variable selection
- linear model
- linear models
- input variables
- cross validation
- regression model
- least squares
- model selection
- high dimensional
- nonlinear models
- dimension reduction
- high dimensional data
- group lasso
- additive model
- feature selection
- linear transformation
- regression trees
- ls svm
- maximum likelihood
- gaussian processes
- bayesian inference
- logistic regression
- linear svm
- bayesian networks
- machine learning
- number of input variables