Identification of a single-factor model using graphical Gaussian rules
E Stanghellini - Biometrika, 1997 - academic.oup.com
Biometrika, 1997•academic.oup.com
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.
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.
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.
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