Latent Class Analysis of Two-Way Contingency Tables by Bayesian Methods
本文讨论了双向列联表中潜在类别分析存在的不可识别问题，并介绍了利用贝叶斯方法（通过假设先验分布）克服该问题及解决相关计算困难的技术。
Latent class analysis in two-way contingency tables usually suffers from unidentifiability problems. These an be overcome by using Bayesian techniques in which prior distributions are assumed on the latent parameters. Application of these techniques, however, involves some unusual computational difficulties. Bayesian techniques suitable for latent class analyses together with a remedy to the computational difficulties are discussed in this paper.