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Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables

ICML 2017 · Probabilistic and scientific modeling › Causal discovery · approach: Causal effect identification · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Generalize auxiliary simple instrumental sets to generalized instrumental sets allowing conditioning to block spurious pathsauxiliary variable identification in linear SEMs · theoretical identification (g-HT comparison)identifiable coefficients/modelsHelped
Add quasi-instrumental sets using auxiliary variables from partial experimental data (z-identification)qID identification algorithm · theoretical identification (z-identification)identifiable coefficientsHelped
Use quasi-IV sets for standard identification when no external coefficient knowledge is availablestandard identification problem · theoretical identificationidentifiable coefficientsNo clear effect
Use auxiliary variables with generalized instrumental sets (qID) versus g-HT algorithmlinear SEM identification · theoretical identificationidentifiable modelsHelped
Derive overidentifying constraints from auxiliary IV and quasi-IV sets for model testingmodel testing in linear SEMs · theoretical model testingtestable implicationsHelped

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