Bayesian definition of random sequences with respect to conditional probabilities.
Hayato TakahashiPublished in: ISIT (2017)
Keyphrases
- conditional probabilities
- bayesian networks
- posterior probability
- prior probabilities
- bayesian model
- subjective probabilities
- prior distribution
- probabilistic inference
- probability distribution
- probabilistic model
- belief nets
- belief networks
- random variables
- bayesian belief networks
- joint distribution
- discrete random variables
- marginal probabilities
- class labels
- graphical models
- bayesian network structure
- posterior distribution
- main idea consists
- network parameters
- bayesian inference
- causal knowledge
- training data
- conditional independence
- approximate inference
- knowledge base
- probability measures
- belief propagation
- conditional probability tables
- parameter estimation
- multi dimensional
- decision trees