A novel Bayesian approach for variable selection in linear regression models.
Konstantin PoschMaximilian ArbeiterJürgen PilzPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- variable selection
- linear regression models
- least squares
- regression analysis
- regression trees
- linear models
- cross validation
- high dimensional
- input variables
- linear regression model
- dimension reduction
- model selection
- high dimensional data
- data sets
- singular value decomposition
- feature selection
- neural network
- low dimensional
- face recognition