Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors.
Zhuanzhuan MaZifei HanSouparno GhoshLiucang WuMin WangPublished in: Stat. Anal. Data Min. (2024)
Keyphrases
- variable selection
- logistic regression models
- high dimensional
- input variables
- linear models
- dimension reduction
- high dimensional data
- ls svm
- low dimensional
- dimensionality reduction
- model selection
- prior information
- bayesian framework
- cross validation
- high dimensionality
- feature selection
- nearest neighbor
- data points
- feature space
- feature extraction
- text classification
- pattern recognition