Robust High-Dimensional Linear Regression.
Chang LiuBo LiYevgeniy VorobeychikAlina OpreaPublished in: CoRR (2016)
Keyphrases
- linear regression
- high dimensional
- generalized linear models
- robust regression
- least squares
- regression methods
- ridge regression
- locally weighted
- linear models
- dimensionality reduction
- linear regression model
- regression problems
- kernel regression
- nonlinear regression
- statistically significant
- machine learning
- kernel function
- feature space
- square loss
- variable selection
- regression method
- dimension reduction
- regression model
- low dimensional
- feature vectors
- three dimensional