Bayesian Inference under Ambiguity: Conditional Prior Belief Functions.
Giulianella ColettiDavide PetturitiBarbara VantaggiPublished in: ISIPTA (2017)
Keyphrases
- bayesian inference
- belief functions
- prior information
- markov tree
- bayesian model
- prior distribution
- dempster shafer theory
- dempster shafer
- probabilistic model
- probability function
- hyperparameters
- prior knowledge
- variational inference
- combination rule
- evidential reasoning
- probability theory
- bayesian models
- particle filter
- hierarchical bayesian
- probabilistic graphical models
- bayesian methods
- markov chain monte carlo
- graphical models
- prior probabilities
- markov networks
- fuzzy numbers
- expectation propagation
- neural network
- conditional probabilities
- maximum a posteriori
- tree structure
- state space
- pattern recognition