Multiagent Bayesian Forecasting of Time Series with Graphical Models.
Yang XiangJames SmithJeff KroesPublished in: FLAIRS Conference (2009)
Keyphrases
- graphical models
- multi agent
- bayesian networks
- belief propagation
- statistical inference
- box jenkins
- probabilistic model
- probabilistic inference
- random variables
- probabilistic graphical models
- approximate inference
- belief networks
- marginal probabilities
- conditional random fields
- map inference
- structure learning
- markov networks
- bayesian inference
- exact inference
- factor graphs
- posterior probability
- non stationary
- influence diagrams
- conditional independence
- message passing
- chain graphs
- lower bound
- structural learning
- interactive dynamic influence diagrams
- loopy belief propagation
- bayesian methods
- undirected graphical models
- graphical structure
- upper and lower bounds
- decision theory
- reinforcement learning