Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence.
Sohan SethJosé Carlos PríncipePublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- conditional independence
- causal models
- bayesian networks
- random variables
- graphical models
- learning bayesian networks
- directed acyclic graph
- structure learning
- probability distribution
- axiomatic characterization
- causal relationships
- structure and parameter learning
- statistical independence
- bayesian network structure
- causal reasoning
- possibility theory
- markov property
- probability theory
- granger causality
- conditional independencies
- chain graphs
- causal relations
- causal discovery
- probabilistic graphical models
- probabilistic inference
- conditional independence tests
- image segmentation