Constrained inference in linear regression.
Thelge Buddika PeirisBhaskar BhattacharyaPublished in: J. Multivar. Anal. (2016)
Keyphrases
- linear regression
- least squares
- regression methods
- regression problems
- nonlinear regression
- bayesian networks
- locally weighted
- ridge regression
- kernel regression
- regression trees
- linear regression model
- linear models
- regression method
- bayesian inference
- predictor variables
- machine learning
- bayesian model
- high dimensional data
- expectation maximization
- support vector machine
- probability distribution
- kernel density estimators