Model Selection in Mixture Regression Analysis-A Monte Carlo Simulation Study.
Marko SarstedtManfred SchwaigerPublished in: GfKl (2007)
Keyphrases
- simulation study
- monte carlo
- model selection
- regression analysis
- regression model
- mixture model
- cross validation
- hyperparameters
- markov chain
- machine learning
- gaussian mixture model
- bayesian learning
- parameter estimation
- gaussian process
- unsupervised learning
- sample size
- factor analysis
- model selection criteria
- expectation maximization
- particle filter
- feature selection
- variable selection
- selection criterion
- statistical inference
- density estimation
- em algorithm
- probabilistic model
- training data