Bayesian variable selection for finite mixture model of linear regressions.
Kuo-Jung LeeRay-Bing ChenYing Nian WuPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- variable selection
- finite mixture model
- selection criterion
- linear models
- input variables
- cross validation
- high dimensional
- model selection
- dimension reduction
- em algorithm
- mixture model
- expectation maximization
- density estimation
- maximum likelihood
- linear model
- machine learning
- least squares
- bayesian networks
- trend analysis
- pairwise
- pattern recognition
- image processing