Latent class analysis of two-way contingency tables by Bayesian methods

Michael J. Evans*, Zvi Gilula, Irwin Guttman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)557-563
Number of pages7
JournalBiometrika
Volume76
Issue number3
DOIs
StatePublished - Sep 1989

Keywords

  • Adaptive importance sampling
  • Bayesian estimation
  • Contingency table
  • Dirichlet prior
  • Latent class model

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