Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

@article{Zhang2017CausalDI,
  title={Causal Discovery in the Presence of Measurement Error: Identifiability Conditions},
  author={Kun Zhang and Mingming Gong and Joseph Ramsey and Kayhan Batmanghelich and Peter Spirtes and Clark Glymour},
  journal={CoRR},
  year={2017},
  volume={abs/1706.03768}
}
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. In this paper, we study precise sufficient identifiability conditions for the measurement-errorfree causal model and show what information of… CONTINUE READING
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