A Note on Parameter Estimation for Lazarsfeld's Latent Class Model using the EM Algorithm
Barry J. Everitt · Multivariate Behavioral Research · 1984
Latent class analysis is formulated as a problem of estimating parameters in a finite mixture distribution. The EM algorithm is used to find the maximum likelihood estimates, and the case of categorical variables with more than two categories is considered.