Keyphrases
- gibbs sampling
- bayesian networks
- approximate inference
- exact inference
- graphical models
- belief networks
- topic models
- markov chain monte carlo
- markov chain
- probabilistic inference
- parameter estimation
- expectation maximization
- posterior probability
- probabilistic model
- em algorithm
- conditional probability distributions
- latent dirichlet allocation
- probability distribution
- belief propagation
- conditional probabilities
- structure learning
- conditional independence
- variational methods
- hidden variables
- dynamic bayesian networks
- random variables
- gaussian process
- machine learning
- prior information
- markov networks
- posterior distribution
- monte carlo
- incomplete data
- sampling methods
- generative model