Everything that can be learned about a causal structure with latent variables by observational and interventional probing schemes
Marina Maciel Ansanelli, Elie Wolfe, Robert W. Spekkens

TL;DR
This paper characterizes which causal structures with latent variables can be distinguished using observational and interventional probing schemes, revealing that structures with the same mDAG are indistinguishable and exploring the limits of probing scheme informativeness.
Contribution
It provides a complete characterization of distinguishability of causal structures with latent variables under various probing schemes, based on mDAG equivalence.
Findings
Structures with the same mDAG are indistinguishable.
Interventions can distinguish certain causal structures otherwise indistinguishable.
Weaker probing schemes may still retain full discrimination power.
Abstract
What types of differences among causal structures with latent variables are impossible to distinguish by statistical data obtained by probing each visible variable? If the probing scheme is simply passive observation, then it is well-known that many different causal structures can realize the same joint probability distributions. Even for the simplest case of two visible variables, for instance, one cannot distinguish between one variable being a causal parent of the other and the two variables sharing a latent common cause. However, it is possible to distinguish between these two causal structures if we have recourse to more powerful probing schemes, such as the possibility of intervening on one of the variables and observing the other. Herein, we address the question of which causal structures remain indistinguishable even given the most informative types of probing schemes on the…
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Taxonomy
TopicsMeta-analysis and systematic reviews · Ethics in Clinical Research · BRCA gene mutations in cancer
