Inferring causal structure and hidden causes from event sequences.
Christopher G. LucasKenneth HolsteinMichael PacerPublished in: CogSci (2015)
Keyphrases
- event sequences
- causal structure
- causal relationships
- causal models
- causal discovery
- experimental data
- causal ordering
- bayesian networks
- causal graph
- causal relations
- observational data
- temporal patterns
- event types
- discovery process
- data structure
- spatial information
- random walk
- upper bound
- conditional independence
- learning process
- machine learning