Parameter estimation and model selection for mixtures of truncated exponentials.
Helge LangsethThomas D. NielsenRafael RumíAntonio SalmerónPublished in: Int. J. Approx. Reason. (2010)
Keyphrases
- model selection
- parameter estimation
- mixture model
- cross validation
- hyperparameters
- statistical models
- random fields
- statistical learning
- parameter values
- sample size
- posterior distribution
- variable selection
- parameter estimation algorithm
- machine learning
- approximate inference
- gaussian mixture model
- regression model
- selection criterion
- feature selection
- information criterion
- marginal likelihood
- expectation maximization
- model selection criteria
- bayesian information criterion
- source separation