Search results for "causal effect identification"

showing 1 items of 1 documents

Identifying Causal Effects via Context-specific Independence Relations

2019

Causal effect identification considers whether an interventional probability distribution can be uniquely determined from a passively observed distribution in a given causal structure. If the generating system induces context-specific independence (CSI) relations, the existing identification procedures and criteria based on do-calculus are inherently incomplete. We show that deciding causal effect non-identifiability is NP-hard in the presence of CSIs. Motivated by this, we design a calculus and an automated search procedure for identifying causal effects in the presence of CSIs. The approach is provably sound and it includes standard do-calculus as a special case. With the approach we can …

FOS: Computer and information sciencescontext-specific independence relationsComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial Intelligenceeducationkausaliteetticausal effect identification113 Computer and information sciencesMachine Learning (cs.LG)
researchProduct