A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting.
Sanjeena SubediPaul D. McNicholasPublished in: J. Classif. (2021)
Keyphrases
- model selection
- parameter estimation
- mixture model
- variational methods
- approximate inference
- cross validation
- free energy
- hyperparameters
- bayesian learning
- statistical models
- posterior distribution
- parameter estimation algorithm
- sample size
- regression model
- maximum likelihood estimates
- parameter values
- random fields
- image segmentation
- machine learning
- selection criterion
- information criterion
- stochastic logic programs
- markov chain monte carlo
- model selection criteria
- maximum likelihood
- statistical learning
- gaussian mixture model
- expectation maximization
- markov fields
- gaussian process
- exponential family
- exact inference
- variable selection
- em algorithm
- message passing
- expectation propagation
- density estimation
- small samples
- level set
- optical flow
- bayesian model selection
- image processing