论文信息 - Two Algorithms for Inducing Structural Equation Models from Data

Two Algorithms for Inducing Structural Equation Models from Data

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.

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