Quantile regression for functional partially linear model in ultra-high dimensions.
Haiqiang MaTing LiHongtu ZhuZhongyi ZhuPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- linear model
- high dimensions
- quantile regression
- least squares
- high dimensional
- regression model
- high dimensional data
- response variable
- cross validated
- linear models
- linear regression
- high dimensional spaces
- nonlinear models
- regression trees
- control law
- cross validation
- dimensionality reduction
- optical flow
- data sets
- variable selection
- loss function
- low dimensional
- nearest neighbor
- feature space
- data mining