Two Algorithms for Inducing Structural Equation Models from Data

Authors:
P. R. Cohen;D. E. Gregory;L. Ballesteros;R. St. Amant
Affiliations:
-;-;-;-
Venue:
Two Algorithms for Inducing Structural Equation Models from Data
Year:
1994

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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 and IC, which rely on conditional indepen- dence. We present the algorithms and empirical comparisons with PC and IC.