PEID decomposes the causal effect of multiple sources on a target under maximum-entropy interventions into unique and synergistic information, enabling hyperedge causal graphs and downward causation analysis.
On the representation and learning of monotone triangular transport maps.Foundations of Computational Mathematics, 24(6):2063–2108
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Partial Effective Information Decomposition for Synergistic Causality
PEID decomposes the causal effect of multiple sources on a target under maximum-entropy interventions into unique and synergistic information, enabling hyperedge causal graphs and downward causation analysis.