Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression.
Yining WangAarti SinghPublished in: CoRR (2016)
Keyphrases
- linear regression
- low dimensional
- linear regression model
- least squares
- robust regression
- generalized linear models
- prediction accuracy
- high dimensional
- regression methods
- regression problems
- nonlinear regression
- ridge regression
- input space
- regression method
- euclidean space
- locally weighted
- data points
- dimensionality reduction
- linear predictors
- high dimensional data
- dimension reduction
- prediction model
- prediction error
- machine learning
- principal component analysis
- cross validation
- predictive model
- face recognition
- variable selection
- three dimensional
- feature selection