Multilevel Gibbs Sampling for Bayesian Regression.
Joris TavernierJaak SimmAdam AranyKarl MeerbergenYves MoreauPublished in: CoRR (2020)
Keyphrases
- dirichlet process mixture
- gibbs sampling
- hierarchical bayesian
- markov chain
- parameter estimation
- topic models
- markov chain monte carlo
- latent dirichlet allocation
- em algorithm
- approximate inference
- expectation maximization
- belief networks
- regression model
- markov random field
- information retrieval
- learning algorithm
- exact inference
- posterior probability
- bayesian networks
- posterior distribution
- probability distribution
- machine learning
- probabilistic model
- graphical models
- co occurrence