Bayesian linear regression with Student-t assumptions.
Chao-Bing SongShu-Tao XiaPublished in: CoRR (2016)
Keyphrases
- linear regression
- least squares
- regression methods
- learning environment
- regression problems
- learning styles
- ridge regression
- linear regression model
- linear models
- locally weighted
- bayesian inference
- generalized linear models
- bayesian networks
- nonlinear regression
- undergraduate students
- multivariate regression
- kernel density estimators
- maximum likelihood
- regression method
- posterior distribution
- predictor variables
- kernel regression
- regression trees
- genetic programming
- loss bounds
- probabilistic model
- feature selection
- computer vision