Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...
A simple root n consistent, asymptotically normal semiparametric estimator of the coefficient vector β in the latent variable specification y = L(β′ x + e) is constructed. The distribution of e is ...
Suppose we observe samples of a subset of a collection of random variables. No additional information is provided about the number of latent variables, nor of the relationship between the latent and ...