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arxiv: 1302.4972 · v1 · pith:GDPNKZQZnew · submitted 2013-02-20 · 💻 cs.AI

Causal Inference and Causal Explanation with Background Knowledge

classification 💻 cs.AI
keywords causalexplanationbackgroundknowledgetherealgorithmsansweringcommon
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This paper presents correct algorithms for answering the following two questions; (i) Does there exist a causal explanation consistent with a set of background knowledge which explains all of the observed independence facts in a sample? (ii) Given that there is such a causal explanation what are the causal relationships common to every such causal explanation?

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    Proposes a sequential causal discovery framework integrating noisy LM priors with batch data via PAG representation and adaptive edge querying for improved structural accuracy.