Two perspectives on consensus for (Bayesian) inference and decisions.
Teddy SeidenfeldMark J. SchervishPublished in: IEEE Trans. Syst. Man Cybern. (1990)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- decision making
- hyperparameters
- bayesian model
- statistical inference
- decision makers
- variational inference
- probabilistic modeling
- expectation propagation
- particle filter
- hidden variables
- gibbs sampler
- hierarchical bayesian
- variational bayes
- weighted model counting
- markov chain monte carlo
- decision trees
- inference process
- prior distribution
- posterior distribution
- model selection
- dynamic programming
- variational approximation