We discuss the problem of identification of relevant parameters in a DAG model for Gaussian variables with one unobserved variable that acts as a counfounder. We first make explicit what we intend for identification and then discuss an example where a modified notion of instrumental variable renders a system with a confounder identifiable.
Instrumental variables in Gaussian directed acyclic graph models with an unobserved confounder
STANGHELLINI, Elena
2004
Abstract
We discuss the problem of identification of relevant parameters in a DAG model for Gaussian variables with one unobserved variable that acts as a counfounder. We first make explicit what we intend for identification and then discuss an example where a modified notion of instrumental variable renders a system with a confounder identifiable.File in questo prodotto:
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