Bayesian inference for gibbs random fields using composite likelihoods.
Nial FrielPublished in: WSC (2012)
Keyphrases
- bayesian inference
- gibbs random fields
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- statistical inference
- hierarchical bayesian
- variational inference
- maximum likelihood
- variational bayes
- markov networks
- gibbs sampler
- probabilistic modeling
- data sets
- inference process
- hidden variables
- gaussian process
- expectation propagation
- random variables
- weighted model counting
- prior distribution
- graphical models
- bayesian models
- posterior probability
- parameter estimation