Non-crossing quantile regression via doubly penalized kernel machine.
Jooyong ShimChangha HwangKyung Ha SeokPublished in: Comput. Stat. (2009)
Keyphrases
- quantile regression
- kernel machines
- least squares
- cross validated
- support vector
- semi supervised
- kernel function
- cross validation
- learning machines
- model selection
- linear model
- learning tasks
- kernel methods
- semi supervised learning
- loss function
- optical flow
- learning problems
- maximum likelihood
- variable selection
- reproducing kernel hilbert space
- multiple kernel learning
- response variable
- support vector machine
- pairwise
- feature space
- neural network
- ls svm
- principal component analysis
- supervised learning
- high dimensional
- probabilistic model