Identification of a single-factor model using graphical Gaussian rules

Abstract

We state a sufficient condition for the global identification of a single-factor model when some conditional associations among residuals are allowed The condition relies on the structure of the conditional independence graph of the observed variable given the latent factor, and can be derived using graphical rules.