A weighted strategy to handle likelihood uncertainty in Bayesian inference.
Claudio AgostinelliLuca GrecoPublished in: Comput. Stat. (2013)
Keyphrases
- bayesian inference
- inference process
- probabilistic model
- prior information
- hierarchical bayesian
- bayesian model
- hyperparameters
- maximum likelihood
- gibbs sampler
- statistical inference
- weighted model counting
- variational bayes
- hidden variables
- markov chain monte carlo
- markov networks
- posterior probability
- probabilistic modeling
- variational inference
- particle filter
- pairwise
- prior distribution
- conditional probabilities
- markov random field