Relabelling in Bayesian mixture models by pivotal units.
Leonardo EgidiRoberta PappadàFrancesco PauliNicola TorelliPublished in: Stat. Comput. (2018)
Keyphrases
- mixture model
- maximum likelihood
- dirichlet prior
- gaussian mixture model
- em algorithm
- density estimation
- probabilistic model
- generative model
- unsupervised learning
- model selection
- expectation maximization
- generalized em algorithm
- mixture modeling
- variational inference
- probability density function
- posterior probability
- automatic model selection
- bayesian inference
- machine learning
- posterior distribution
- gaussian mixture
- gaussian processes
- prior distribution
- exponential family
- missing data
- bayesian information criterion
- dirichlet distribution
- log linear models
- supervised learning
- bayesian networks
- clustering algorithm
- image processing