Parameterized Completeness Results for Bayesian Inference.
Hans L. BodlaenderNils DonselaarJohan KwisthoutPublished in: PGM (2022)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- variational inference
- statistical inference
- particle filter
- gibbs sampler
- markov networks
- hierarchical bayesian
- hidden variables
- inference process
- probabilistic modeling
- variational bayes
- weighted model counting
- expectation propagation
- markov chain monte carlo
- support vector