Identifiability of Path-Specific Effects

Avin, Chen; Shpitser, Ilya; Pearl, Judea

Identifiability of Path-Specific Effects

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 357-362.

Abstract

Counterfactual quantities representing pathspecific effects arise in cases where we are interested in computing the effect of one variable on another only along certain causal paths in the graph (in other words by excluding a set of edges from consideration). A recent paper [Pearl, 2001] details a method by which such an exclusion can be specified formally by fixing the value of the parent node of each excluded edge. In this paper we derive simple, graphical conditions for experimental identifiability of path-specific effects, namely, conditions under which path-specific effects can be estimated consistently from data obtained from controlled experiments.

Chen Avin, Ilya Shpitser, and Judea Pearl. 2005. Identifiability of Path-Specific Effects. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 357–362. https://ijcai.org/proceedings/2005/100

@inproceedings{ijcai2005p100,
  title     = {Identifiability of Path-Specific Effects},
  author    = {Avin, Chen and Shpitser, Ilya and Pearl, Judea},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {357--362},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/100},
}

TY  - CPAPER
TI  - Identifiability of Path-Specific Effects
AU  - Avin, Chen
AU  - Shpitser, Ilya
AU  - Pearl, Judea
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 357
EP  - 362
UR  - https://ijcai.org/proceedings/2005/100
ER  -