Performances of some high dimensional regression methods: sparse principal component regression.
Fatma Sevinç KurnazPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- principal component regression
- regression methods
- high dimensional
- generalized linear models
- regression model
- partial least squares
- linear regression
- kernel space
- dimension reduction
- logistic regression
- principal components
- regression method
- dimensionality reduction
- low dimensional
- data points
- variable selection
- nearest neighbor
- high dimensionality
- least squares
- feature space
- prediction model
- model selection
- support vector
- neural network
- discriminant analysis
- high dimensional data
- regression analysis
- data analysis
- pattern recognition
- decision trees