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Identifiability and transportability in dynamic causal networks
dc.contributor.author | Blondel, Gilles |
dc.contributor.author | Arias Vicente, Marta |
dc.contributor.author | Gavaldà Mestre, Ricard |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2017-03-06T16:15:45Z |
dc.date.available | 2017-03-06T16:15:45Z |
dc.date.issued | 2016 |
dc.identifier.citation | Blondel, G., Arias, M., Gavaldà, R. "Identifiability and transportability in dynamic causal networks". 2016. |
dc.identifier.uri | http://hdl.handle.net/2117/101979 |
dc.description.abstract | In this paper we propose a causal analog to the purely observational Dynamic Bayesian Networks, which we call Dynamic Causal Networks. We provide a sound and complete algorithm for identification of Dynamic Causal Networks, namely, for computing the effect of an intervention or experiment, based on passive observations only, whenever possible. We note the existence of two types of confounder variables that affect in substantially different ways the identification procedures, a distinction with no analog in either Dynamic Bayesian Networks or standard causal graphs. We further propose a procedure for the transportability of causal effects in Dynamic Causal Network settings, where the result of causal experiments in a source domain may be used for the identification of causal effects in a target domain. |
dc.format.extent | 18 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica |
dc.subject.lcsh | Graph theory |
dc.subject.other | Belief networks |
dc.subject.other | Dynamic causal networks |
dc.subject.other | Dynamic Bayesian networks |
dc.subject.other | Standard causal graphs |
dc.title | Identifiability and transportability in dynamic causal networks |
dc.type | External research report |
dc.subject.lemac | Grafs, Teoria de |
dc.contributor.group | Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge |
dc.relation.publisherversion | https://arxiv.org/abs/1610.05556 |
dc.rights.access | Open Access |
local.identifier.drac | 19768974 |
dc.description.version | Preprint |
local.citation.author | Blondel, G.; Arias, M.; Gavaldà, R. |
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