Bayesian evidence and model selection.
Kevin H. KnuthMichael HabeckNabin K. MalakarM. Asim MubeenBen PlacekPublished in: Digit. Signal Process. (2015)
Keyphrases
- model selection
- bayesian learning
- marginal likelihood
- bayesian model selection
- cross validation
- bayesian methods
- statistical inference
- hyperparameters
- bayesian approaches
- covariate shift
- parameter estimation
- regression model
- statistical learning
- posterior distribution
- sample size
- error estimation
- mixture model
- machine learning
- information criterion
- selection criterion
- generalization error
- meta learning
- gaussian processes
- gaussian process
- motion segmentation
- posterior probability
- maximum likelihood
- model selection criteria
- bayesian networks
- data mining
- variable selection
- markov random field
- feature selection
- bayesian information criterion
- probabilistic model
- automatic model selection