On Causal Discovery with Equal Variance Assumption

Wenyu Chen, Mathias Drton, Y. Samuel Wang
7/9/2018
stat.MEstat.CO

Official code: WY-Chen/EqVarDAG (9 stars, GPL-3.0, last commit 2022-05-06).

Abstract

Prior work has shown that causal structure can be uniquely identified from observational data when these follow a structural equation model whose error terms have equal variances. We show that this fact is implied by an ordering among (conditional) variances. We demonstrate that ordering estimates of these variances yields a simple yet state-of-the-art method for causal structure learning that is readily extendable to high-dimensional problems.

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WY-Chen/EqVarDAGOfficial100%
GPL-3.0

Causal Discovery with Equal Variance Assumption

93RApr 3, 20194 years agoGPL-3.0

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Cite this paper

@article{chen2018causal,
  title  = {On Causal Discovery with Equal Variance Assumption},
  author = {Wenyu Chen and Mathias Drton and Y. Samuel Wang},
  year   = {2018},
  eprint = {1807.03419},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1807.03419}
}

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