A Bayesian goodness-of-fit test for regression.
Andrés F. BarrientosAntonio CanalePublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- sparse bayesian learning
- gaussian processes
- regression model
- relevance vector machine
- bayesian learning
- dirichlet process mixture
- support vector regression
- linear regression
- model selection
- bayesian networks
- regression problems
- model averaging
- maximum likelihood
- data driven
- locally weighted
- database
- partial least squares
- regression algorithm
- polynomial regression
- bayesian methods
- ridge regression
- bayesian estimation
- decision theory
- gaussian process
- bayesian framework
- prior knowledge
- decision trees
- maximum entropy discrimination
- neural network