Reformulating covariance structure into self- and cross-components with a relative-error constraint enables stable sign and direction recovery in SEM for p > n settings.
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Covariance-Based Structural Equation Modeling in Small-Sample Settings with $p>n$
Reformulating covariance structure into self- and cross-components with a relative-error constraint enables stable sign and direction recovery in SEM for p > n settings.