An Approximate Bayesian Marginal Likelihood Approach for Estimating Finite Mixtures.
Ryan MartinPublished in: Commun. Stat. Simul. Comput. (2013)
Keyphrases
- marginal likelihood
- finite mixtures
- expectation propagation
- mixture model
- model selection
- exponential family
- gaussian process
- minimum message length
- density estimation
- bayesian information criterion
- bayesian inference
- hyperparameters
- gaussian mixture model
- information criterion
- approximate inference
- closed form
- em algorithm
- cross validation
- posterior distribution
- graphical models
- bayesian methods
- maximum likelihood
- gaussian processes
- expectation maximization
- regression model
- prior knowledge
- parameter estimation
- machine learning
- bayesian framework
- belief propagation