Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures.
Sami BourouisFaisal R. Al-OsaimiNizar BouguilaHassen SallayFahd M. AldosariMohamed Al MashrgyPublished in: Soft Comput. (2019)
Keyphrases
- bayesian inference
- reversible jump mcmc
- mixture model
- probabilistic model
- dirichlet distribution
- prior distribution
- bayesian networks
- expectation maximization
- prior information
- hyperparameters
- simulated annealing
- statistical inference
- bayesian model
- variational inference
- discrete data
- variational bayes
- gibbs sampler
- hierarchical bayesian
- generative model
- probabilistic modeling
- graphical models
- em algorithm
- bayesian models
- neural network
- particle filter
- training data
- weighted model counting
- image segmentation
- prior knowledge
- markov chain monte carlo
- hidden variables
- conditional random fields