Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis.
Xuan CaoKyoungjae LeePublished in: Entropy (2020)
Keyphrases
- variable selection
- high dimensional
- data analysis
- generalized linear models
- high dimensional data
- model selection
- functional magnetic resonance imaging
- dimensionality reduction
- cross validation
- dimension reduction
- regression model
- input variables
- low dimensional
- ls svm
- logistic regression
- machine learning
- high dimensionality
- linear regression
- data points
- feature space
- image segmentation
- feature selection