Adjacency-Faithfulness and Conservative Causal Inference

Understand

Most causal inference algorithms in the literature (e.g., Pearl (2000), Spirtes et al.

• (2000), Heckerman et al.
• (1999)) exploit an assumption usually referred to as the causal Faithfulness or Stability condition.
• In this paper, we highlight two components of the condition used in constraint-based algorithms, which we call "Adjacency-Faithfulness" and "Orientation-Faithfulness".