论文标题
关于多个系统估计的潜在类模型的可识别性
On the Identifiability of Latent Class Models for Multiple-Systems Estimation
论文作者
论文摘要
潜在类模型最近在人权应用中的多个系统估计中变得流行。但是，目前尚不清楚当给定的潜在类模型在这种情况下可识别。我们为可识别的潜在类模型家族所需的潜在类别提供了必要和充分的条件。一路上，我们提供了一种机制，用于验证一类多个系统估计模型的可识别性，这些模型允许单个异质性。
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.
