Interquantile shrinkage and variable selection in quantile regression.
Liewen JiangHoward D. BondellHuixia Judy WangPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- variable selection
- quantile regression
- cross validated
- cross validation
- least squares
- model selection
- input variables
- denoising
- linear models
- image denoising
- training set
- high dimensional
- support vector
- dimension reduction
- hyperparameters
- response variable
- ls svm
- computer vision
- machine learning
- decision trees
- image processing
- singular value decomposition
- data sets
- pattern recognition