Variable selection for additive partial linear quantile regression with missing covariates.
Ben SherwoodPublished in: J. Multivar. Anal. (2016)
Keyphrases
- variable selection
- quantile regression
- cross validation
- cross validated
- linear models
- response variable
- model selection
- regression model
- input variables
- high dimensional
- least squares
- logistic regression models
- logistic regression
- group lasso
- sample size
- linear model
- ls svm
- dimension reduction
- high dimensional data
- conditional distribution
- support vector
- training set
- regression analysis
- data mining
- missing data
- fuzzy sets
- explanatory variables
- semi supervised
- feature selection