Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.
Sami BourouisRoobaea AlroobaeaSaeed RubaieeMurad AndejanyFahad M. AlmansourNizar BouguilaPublished in: IEEE Access (2021)
Keyphrases
- bayesian inference
- markov chain monte carlo
- mixture model
- probabilistic model
- variational inference
- generative model
- posterior distribution
- unsupervised learning
- learning algorithm
- gaussian mixture model
- prior information
- gibbs sampler
- expectation propagation
- supervised learning
- expectation maximization
- particle filter
- em algorithm
- posterior probability
- language model
- graphical models
- bayesian model
- exponential family
- decision trees
- image processing