Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data.
Monia RanalliRoberto RocciPublished in: ECDA (2014)
Keyphrases
- mixture model
- model selection
- model selection criteria
- selection criterion
- pairwise
- ordinal data
- density estimation
- maximum likelihood
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- parameter estimation
- mixture of gaussians
- language model
- cross validation
- expectation maximization
- hyperparameters
- bayesian information criterion
- variable selection
- probability density function
- unsupervised learning
- machine learning
- probabilistic mixture model
- information criterion
- posterior probability
- mutual information
- computer vision