Partial information decomposition components map directly onto causal roles such as direct parents, children, and colliders in both pairwise Bayesian networks and higher-order hypergraphs.
CoRR , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
POSCMs extend structural causal models to latent contexts that co-determine both graph structure and mechanisms, supported by an identifiability theory and validation in a retina simulator.
citing papers explorer
-
Information-theoretic signatures of causality in Bayesian networks and hypergraphs
Partial information decomposition components map directly onto causal roles such as direct parents, children, and colliders in both pairwise Bayesian networks and higher-order hypergraphs.
-
Partially Observed Structural Causal Models
POSCMs extend structural causal models to latent contexts that co-determine both graph structure and mechanisms, supported by an identifiability theory and validation in a retina simulator.