Variable Fusion for Bayesian Linear Regression via Spike-and-slab Priors.
Shengyi WuKaito ShimamuraKohei YoshikawaKazuaki MurayamaShuichi KawanoPublished in: KES-IDT (2021)
Keyphrases
- linear regression
- predictor variables
- least squares
- regression methods
- prior distribution
- linear regression model
- regression problems
- ridge regression
- prior probabilities
- bayesian networks
- prior information
- linear models
- regression trees
- machine learning
- maximum likelihood
- posterior distribution
- posterior probability
- maximum a posteriori
- nonlinear regression
- locally weighted
- kernel density estimators
- regression method
- bayesian framework
- generalized linear models