A Test of Granger Non-causality Based on Nonparametric Conditional Independence.
Sohan SethJosé C. PríncipePublished in: ICPR (2010)
Keyphrases
- conditional independence
- causal models
- bayesian networks
- random variables
- probability distribution
- structure learning
- learning bayesian networks
- graphical models
- directed acyclic graph
- statistical independence
- axiomatic characterization
- causal independence
- causal relations
- structure and parameter learning
- causal discovery
- causal reasoning
- possibility theory
- fuzzy logic
- probabilistic model
- granger causality
- image segmentation
- neural network