The posterior probabilities of linearly constrained priors and interval-bounded conditionals.
Paul SnowPublished in: IEEE Trans. Syst. Man Cybern. Part A (1996)
Keyphrases
- posterior probability
- linearly constrained
- bayesian framework
- prior probabilities
- linear constraints
- bayesian networks
- variational inequalities
- generative model
- probability distribution
- prior knowledge
- bayes theorem
- probability density function
- conditional probabilities
- maximum a posteriori
- cooperative
- statistical analysis
- probabilistic model
- sensitivity analysis
- linear programming
- feature extraction