Bayesian beta regression for bounded responses with unknown supports.
Haiming ZhouXianzheng HuangPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- sparse bayesian learning
- gaussian processes
- regression model
- relevance vector machine
- bayesian learning
- dirichlet process mixture
- model selection
- maximum likelihood
- real time
- bayesian decision
- ridge regression
- gaussian process regression
- bayesian networks
- bayesian inference
- gaussian process
- regression function
- support vector
- regression algorithm
- linear regression
- support vector regression
- regression method
- case study
- bayesian analysis
- machine learning
- locally weighted
- model averaging
- polynomial regression
- markov random field
- neural network
- data driven