Missing Data as a Causal and Probabilistic Problem

@inproceedings{Shpitser2015MissingDA,
  title={Missing Data as a Causal and Probabilistic Problem},
  author={Ilya Shpitser and Karthika Mohan and Judea Pearl},
  booktitle={UAI},
  year={2015}
}
Causal inference is often phrased as a missing data problem – for every unit, only the response to observed treatment assignment is known, the response to other treatment assignments is not. In this paper, we extend the converse approach of [7] of representing missing data problems to causal models where only interventions on missingness indicators are allowed. We further use this representation to leverage techniques developed for the problem of identification of causal effects to give a… CONTINUE READING

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