Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

10 Jun 2017Kun ZhangMingming GongJoseph RamseyKayhan BatmanghelichPeter SpirtesClark Glymour

Measurement error in the observed values of the variables can greatly change the output of various causal discovery methods. This problem has received much attention in multiple fields, but it is not clear to what extent the causal model for the measurement-error-free variables can be identified in the presence of measurement error with unknown variance... (read more)

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