New approach to Bayesian high-dimensional linear regression.
Shirin JalaliArian MalekiPublished in: CoRR (2016)
Keyphrases
- linear regression
- high dimensional
- generalized linear models
- least squares
- regression problems
- regression methods
- low dimensional
- linear regression model
- locally weighted
- ridge regression
- linear models
- kernel regression
- nonlinear regression
- high dimensional data
- bayesian inference
- dimensionality reduction
- maximum likelihood
- regression method
- data points
- feature space
- posterior distribution
- high dimensionality
- nearest neighbor
- regression trees
- bayesian networks
- probability distribution
- multivariate regression
- kernel density estimators