Bayesian Analysis of Structural Equation Models Using Parameter Expansion
Séverine Demeyer, Jean‐Louis Foulley, Nicolas Fischer, Gilbert Saporta · Statistical Learning and Data Science · 2011
This chapter relies on the ambivalent nature of latent variables. Their unobserved nature makes them either auxiliary variables used as computational tricks or latent concepts associated with observed variables.