Bayesian Variable Selection in Markov Mixture Models.
Roberta ParoliLuigi SpeziaPublished in: Commun. Stat. Simul. Comput. (2008)
Keyphrases
- variable selection
- mixture model
- model selection
- maximum likelihood
- dirichlet prior
- cross validation
- gaussian mixture model
- em algorithm
- bayesian methods
- probabilistic model
- high dimensional
- unsupervised learning
- density estimation
- generative model
- generalized em algorithm
- expectation maximization
- hyperparameters
- probability density function
- posterior probability
- bayesian inference
- mixture modeling
- dimension reduction
- parameter estimation
- regression model
- machine learning
- posterior distribution
- bayesian networks
- selection criterion
- language model
- learning algorithm
- gaussian processes
- efficient optimization
- object recognition
- neural network