Bayesian projection pursuit regression.
Gavin CollinsDevin FrancomKellin RumseyPublished in: Stat. Comput. (2024)
Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- regression model
- bayesian networks
- data driven
- bayesian learning
- model selection
- dirichlet process mixture
- bayesian analysis
- support vector regression
- posterior probability
- maximum likelihood
- linear regression
- bayesian estimation
- ridge regression
- bayesian decision
- radon transform
- bayesian inference
- regression method
- machine learning
- projection method
- support vector
- neural network
- polynomial regression
- learning algorithm
- simple linear
- decision theory