Identifiability of Parameters in Latent Structure Models with Many Observed Variables

Elizabeth S Allman, C. M., & Rhodes, J. A. (2009). Identifiability of Parameters in Latent Structure Models with Many Observed Variables.

Type

Unclassified

Intellectual base

Unclassified

Year

2009

DOI

10.1214/09-aos689

Link

https://doi.org/10.1214/09-aos689

Cited by

1 citation across 1 artifact.

Domain-specific

• Hierarchical generalized linear model
  • … random effects and their distribution, dispersion, dependence, likelihood or h-likelihood definition, estimation, identifiability, prediction, diagnostics, and uncertainty are explicit. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..

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Registry ID ref:0f880676cb58 · see in the full table