Constraint-based causal discovery methods

In this section, we would like to introduce constraint-based causal discovery methods, including PC [1], FCI [2], and CD-NOD [3].

Contents:

• PC
  • Algorithm Introduction
  • Usage
  • Advanced Usages
  • Parameters
  • Returns
• FCI
  • Algorithm Introduction
  • Usage
  • Parameters
  • Returns
• CD-NOD
  • Algorithm Introduction
  • Usage
  • Parameters
  • Returns

[1]

Spirtes, P., Glymour, C. N., Scheines, R., & Heckerman, D. (2000). Causation, prediction, and search. MIT press.

[2]

Spirtes, P., Meek, C., & Richardson, T. (1995, August). Causal inference in the presence of latent variables and selection bias. In Proceedings of the Eleventh conference on Uncertainty in artificial intelligence (pp. 499-506).

[3]

Huang, B., Zhang, K., Zhang, J., Ramsey, J. D., Sanchez-Romero, R., Glymour, C., & Schölkopf, B. (2020). Causal Discovery from Heterogeneous/Nonstationary Data. J. Mach. Learn. Res., 21(89), 1-53.