- Triangle identifiability problem, a first example.
- Non-solvable identifiability problems, why it does not always work.
- Napkin problem, an example problem.
- Identification algorithm for the napkin problem, a run of the complete ID algorithm.
- C-components, central notion of the algorithm.
- C-component decomposition, part of the algoritm.
- Derived conditionals, an auxiliary routine for conditionals and marginals
- Identify algorithm, major part of the algorithm.
- M-bias in causal inference, a confusing case of confounders for the napkin problem.
Literature.
- On the Identification of Causal Effects (Tian, Pearl, 2003)
- Complete Identification Methods for Causal Inference (Shpitser, 2008)
- On Identifying Causal Effects (Tian, Shpitser, 2009)
- When does the ID algorithm fail (Shpitser, 2023)
- Identification of Conditional Interventional Distributions (Shpitser and Pearl, 2006)
Tags: causality.