Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields.
Julien StoehrNial FrielPublished in: AISTATS (2015)
Keyphrases
- bayesian inference
- gibbs random fields
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- camera calibration
- statistical inference
- variational bayes
- conditional probabilities
- prior probabilities
- variational inference
- maximum likelihood
- markov networks
- prior distribution
- weighted model counting
- particle filter
- hidden variables
- probabilistic modeling
- gibbs sampler
- hierarchical bayesian
- data sets
- log likelihood
- pairwise