On the Identifiability of Latent Class Models for Multiple-Systems Estimation
Statistics Theory
2020-08-25 v1 Methodology
Statistics Theory
Abstract
Latent class models have recently become popular for multiple-systems estimation in human rights applications. However, it is currently unknown when a given family of latent class models is identifiable in this context. We provide necessary and sufficient conditions on the number of latent classes needed for a family of latent class models to be identifiable. Along the way we provide a mechanism for verifying identifiability in a class of multiple-systems estimation models that allow for individual heterogeneity.
Keywords
Cite
@article{arxiv.2008.09865,
title = {On the Identifiability of Latent Class Models for Multiple-Systems Estimation},
author = {Serge Aleshin-Guendel},
journal= {arXiv preprint arXiv:2008.09865},
year = {2020}
}
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8 pages