Bayesian variable selection for high dimensional predictors and self-reported outcomes.
Xiangdong GuMahlet G. TadesseAndrea S. FoulkesYunsheng MaRaji BalasubramanianPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- variable selection
- high dimensional
- input variables
- cross validation
- linear models
- dimension reduction
- stochastic search
- low dimensional
- model selection
- high dimensional data
- high dimensionality
- data points
- feature space
- dimensionality reduction
- pattern recognition
- bayesian networks
- maximum likelihood
- group lasso
- number of input variables
- learning algorithm
- text classification
- nearest neighbor
- support vector
- image processing