EM estimation of a Structural Equation Model
In this work, we propose a new estimation method of a Structural Equation Model. Our method is based on the EM likelihood-maximization algorithm. We show that this method provides estimators, not only of the coefficients of the model, but also of its latent factors. Through a simulation study, we investigate how fast and accurate the method is, and then apply it to real environmental data.
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