ML Anthology

Two Algorithms for Inducing Structural Equation Models from Data

Paul R. Cohen, Dawn E. Gregory, Lisa Ballesteros, Robert St. Amant
AISTATS 1995 pp. 129-139
/aistats/1995/cohen1995aistats-two/

Abstract

We present two algorithms for inducing structural equation models from data. Assuming no latent variables, these models have a causal interpretation and their parameters may be estimated by linear multiple regression. Our algorithms are comparable with PC [15] and IC [12,11], which rely on conditional independence. We present the algorithms and empirical comparisons with $\mathrm{PC}$ and IC.

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Text

Cohen et al. "Two Algorithms for Inducing Structural Equation Models from Data." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.

Markdown

[Cohen et al. "Two Algorithms for Inducing Structural Equation Models from Data." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.](https://mlanthology.org/aistats/1995/cohen1995aistats-two/)

BibTeX

@inproceedings{cohen1995aistats-two,
  title     = {{Two Algorithms for Inducing Structural Equation Models from Data}},
  author    = {Cohen, Paul R. and Gregory, Dawn E. and Ballesteros, Lisa and Amant, Robert St.},
  booktitle = {Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics},
  year      = {1995},
  pages     = {129-139},
  volume    = {R0},
  url       = {https://mlanthology.org/aistats/1995/cohen1995aistats-two/}
}