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The Inflation Technique for Causal Inference with Latent Variables
Journal of Causal Inference
The problem of causal inference is to determine if a given probability distribution on observed variables is compatible with some causal structure. The difficult case is when the causal structure includes latent variables. We here introduce the inflation technique for tackling this problem. An inflation of a causal structure is a new causal structure that can contain multiple copies of each of the original variables, but where the ancestry of each copy mirrors that of the original. To everydoi:10.1515/jci-2017-0020 fatcat:2iuxasovk5b2zlk4rz6opcz5na