More indicators (even in fitting Figure 1 style models) do not necessarily mean better latents, they mean more entrenched latents – where the entrenchment is provided by the indicators, with the possible sacrifice of appropriate latent-level causal connectivity.
For example, the law divides between patent and latent ambiguity, where the former roughly corresponds to a case where the meaning of a law is unclear, the latter to cases where the meaning is clear but applies equally well to highly disparate things.
Through associations with parts of a dream, the patient would penetrate its disguises; the associations would lead him from the deceptive "manifest content" of the remembered dream to the deep "latent content," where a wish was invariably lodged.
It may manifest itself in three forms: (1) cancer producing symptoms leading directly to the prostate, (2) hidden cancer that causes no prostatic symptoms but spreads to certain other parts of the body, and (3) latent cancer, where a slow-growing mass is found, usually at autopsy.
Once detected, these individuals move into the detected latent class where they may receive chemoprophylaxis.
The structural equation modeling used in this study focuses a great deal on latent variables where we are unable to measure them directly and rely on measurable indicators.
In addition to symptomatic infections, viroids also cause latent infections where there is no visual evidence of infection in the host; however, transfer to a susceptible host can result in devastating disease.
Also assume that we have identified a LD identity latent space where the k'th target is represented by the vector i k, k ∈ {1, · · ·, N} (N is the number of total target types).
The basic idea is that the visual and semantic modalities of images are represented as random mixtures over multiple latent topics, where each topic is characterized by a distribution over each modality.
Thus, Boes and Winkelmann [2] and Jones and Schurer [16] both give a solution to these issues with the use of the generalized ordered probit model since it is based on a latent threshold where the thresholds themselves are linear function of the explanatory variables.
