Variable selection in partially linear additive models for modal regression.
Jing LvHu YangChaohui GuoPublished in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
- linear models
- variable selection
- additive models
- model selection
- cross validation
- input variables
- high dimensional
- dimension reduction
- linear model
- linear regression
- linear svm
- neural network
- hyperparameters
- regression model
- high dimensional data
- unsupervised learning
- pairwise
- feature selection
- gaussian processes
- reproducing kernel hilbert space