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Causal transportability of experiments on controllable subsets of variables: Z-transportability
DC Field | Value | Language |
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dc.contributor.author | Lee, Sanghack | - |
dc.contributor.author | Honavar, Vasant | - |
dc.date.accessioned | 2024-05-13T05:12:13Z | - |
dc.date.available | 2024-05-13T05:12:13Z | - |
dc.date.created | 2024-05-13 | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013, pp.361-370 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201572 | - |
dc.description.abstract | We introduce z-transportability, the problem of estimating the causal effect of a set of variables X on another set of variables Y in a target domain from experiments on any subset of controllable variables Z where Z is an arbitrary subset of observable variables V in a source domain. z-Transportability generalizes z-identifiability, the problem of estimating in a given domain the causal effect of X on Y from surrogate experiments on a set of variables Z such that Z is disjoint from X. z-Transportability also generalizes transportability which requires that the causal effect of X on Y in the target domain be estimable from experiments on any subset of all observable variables in the source domain. We first generalize z-identifiability to allow cases where Z is not necessarily disjoint from X. Then, we establish a necessary and sufficient condition for z-transportability in terms of generalized z-identifiability and transportability. We provide a sound and complete algorithm that determines whether a causal effect is z-transportable; and if it is, produces a transport formula, that is, a recipe for estimating the causal effect of X on Y in the target domain using information elicited from the results of experimental manipulations of Z in the source domain and observational data from the target domain. Our results also show that do-calculus is complete for z-transportability. | - |
dc.language | 영어 | - |
dc.publisher | UAI | - |
dc.title | Causal transportability of experiments on controllable subsets of variables: Z-transportability | - |
dc.type | Article | - |
dc.citation.journaltitle | Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013 | - |
dc.identifier.scopusid | 2-s2.0-84888168872 | - |
dc.citation.endpage | 370 | - |
dc.citation.startpage | 361 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Lee, Sanghack | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
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