Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection.
Ludwig FahrmeirThomas KneibSusanne KonrathPublished in: Stat. Comput. (2010)
Keyphrases
- model selection
- nonparametric regression
- gaussian processes
- sparse bayesian learning
- relevance vector machine
- bayesian learning
- linear regression
- viewpoint
- regression model
- bayesian networks
- additive model
- partial least squares
- support vector regression
- simple linear
- regression problems
- regression analysis
- neural network
- image denoising
- maximum likelihood
- bayesian methods
- bayesian inference
- posterior probability
- structured data
- regression methods
- text classification
- denoising
- probabilistic model
- dirichlet process mixture