LATENT CLASS ANALYSIS OF 2-WAY CONTINGENCY-TABLES BY BAYESIAN METHODS
成果类型：
Article
署名作者：
EVANS, MJ; GILULA, Z; GUTTMAN, I
署名单位：
Hebrew University of Jerusalem
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1989
页码：
557563
关键词：
摘要：
Latent class analysis in two-way contingency tables usually suffers from unidentifiability problems. These can 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.