Introduction to "On the use of Markov chain Monte Carlo methods for the sampling of mixture models" by R. Douc, F. Maire, J. Olsson.
Stefano PelusoPublished in: Stat. Comput. (2015)
Keyphrases
- mixture model
- markov chain monte carlo methods
- gaussian mixture model
- generative model
- em algorithm
- probabilistic model
- posterior distribution
- expectation maximization
- model selection
- density estimation
- unsupervised learning
- monte carlo
- markov chain monte carlo
- automatic model selection
- sample size
- maximum likelihood
- fully bayesian
- language model
- mixture modeling
- probability density function
- random sampling
- learning algorithm
- parameter space
- training set