Performances of some high dimensional regression methods.
Fatma Sevinç KurnazPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- regression methods
- high dimensional
- regression model
- generalized linear models
- linear regression
- logistic regression
- ridge regression
- regression algorithm
- kernel regression
- partial least squares
- regression method
- high dimensionality
- dimensionality reduction
- dimension reduction
- low dimensional
- similarity search
- robust regression
- high dimensional data
- k nearest neighbour
- variable selection
- parameter space
- data points
- regression analysis
- least squares
- learning algorithm
- training data
- similarity measure
- support vector
- preprocessing
- k nearest neighbor
- signal processing
- feature space