Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect.
Sina AkbariFateme JamshidiEhsan MokhtarianMatthew J. VowelsJalal EtesamiNegar KiyavashPublished in: CoRR (2022)
Keyphrases
- probabilistic networks
- causal discovery
- bayesian networks
- causal models
- causal relationships
- influence diagrams
- probabilistic inference
- discovery process
- conditional independence
- bayesian belief networks
- graphical models
- directed acyclic graph
- markov networks
- probabilistic model
- structure learning
- continuous variables
- probability distribution
- decision problems
- random variables
- continuous domains
- lower bound
- data analysis
- data mining