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Identifiability and transportability in dynamic causal networks

Autor
Blondel, G.; Arias, M.; Gavaldà, R.
Tipus d'activitat
Document cientificotècnic
Data
2016
Repositori
http://hdl.handle.net/2117/101979 Obrir en finestra nova
URL
https://arxiv.org/abs/1610.05556 Obrir en finestra nova
Resum
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 n...
Citació
Blondel, G., Arias, M., Gavaldà, R. "Identifiability and transportability in dynamic causal networks". 2016.
Paraules clau
Belief Networks, Dynamic Causal Networks, Dynamic Bayesian Networks, Standard Causal Graphs
Grup de recerca
LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge

Participants

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