Time series prediction using belief network models.
Paul DagumAdam GalperPublished in: Int. J. Hum. Comput. Stud. (1995)
Keyphrases
- probability distribution
- belief networks
- conditional probabilities
- causal independence
- bayesian belief networks
- probabilistic inference
- autoregressive
- influence diagrams
- neural network model
- non stationary
- prior knowledge
- artificial neural networks
- variable elimination
- neural network
- graphical models
- similarity measure
- learning algorithm