High-dimensional local polynomial regression with variable selection and dimension reduction.
Kin Yap CheungStephen M. S. LeePublished in: Stat. Comput. (2024)
Keyphrases
- variable selection
- dimension reduction
- polynomial regression
- high dimensional
- low dimensional
- high dimensional data
- high dimensional problems
- locally weighted
- high dimensionality
- dimensionality reduction
- principal component analysis
- mdl principle
- feature space
- feature extraction
- random projections
- high dimensional data analysis
- singular value decomposition
- neural network
- data points
- linear discriminant analysis
- unsupervised learning
- linear regression
- nearest neighbor
- pattern recognition
- image data
- preprocessing
- data mining