Corpus ID: 10269018

On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection

@inproceedings{Zhang2016OnTI,
  title={On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection},
  author={K. Zhang and J. Zhang and Biwei Huang and B. Sch{\"o}lkopf and C. Glymour},
  booktitle={UAI},
  year={2016}
}
We study the identifiability and estimation of functional causal models under selection bias, with a focus on the situation where the selection depends solely on the effect variable, which is known as outcome-dependent selection. We address two questions of identifiability: the identifiability of the causal direction between two variables in the presence of selection bias, and, given the causal direction, the identifiability of the model with outcome-dependent selection. Regarding the first, we… Expand
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