Conditional independence testing via weighted partial copulas.
Pascal BianchiKevin ElguiFrançois PortierPublished in: J. Multivar. Anal. (2023)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- probability distribution
- learning bayesian networks
- structure learning
- directed acyclic graph
- axiomatic characterization
- bayesian network structure
- causal models
- probability theory
- possibility theory
- conditional independencies
- statistical independence
- structure and parameter learning
- chain graphs
- causal independence
- gaussian model
- markov property
- causal discovery
- marginal distributions
- probabilistic model