Bayesian inference: the role of coherence to deal with a prior belief function.
Giulianella ColettiDavide PetturitiBarbara VantaggiPublished in: Stat. Methods Appl. (2014)
Keyphrases
- bayesian inference
- belief functions
- prior information
- bayesian model
- prior distribution
- probabilistic model
- dempster shafer theory
- probability function
- prior probabilities
- hyperparameters
- dempster shafer
- prior knowledge
- hierarchical bayesian
- uncertain reasoning
- markov networks
- probability theory
- variational inference
- markov tree
- handling uncertainty
- bayesian models
- gibbs sampler
- hidden variables
- fuzzy numbers
- particle filter
- probability functions
- imprecise probabilities
- data mining
- evidential reasoning
- latent variables
- expectation propagation
- expectation maximization
- bayesian networks
- training data
- multicriteria decision making