latent class models. This paper compares the results of a latent class model with the use of a priori information to split …

inefficiency in one step, using a latent class model for stochastic frontiers. As the classification is not based on a priori … technology than smaller ones we assess if a single step latent class model provides new insights to the use of benchmarking …

We develop a new Bayesian approach to estimate the parameters of a latent-class model for the joint clustering of both … Bayesian approach to estimate the parameters of a latent-class model for the joint clustering of both modes of two-mode data …. Keywords: two-mode data, model-based clustering, latent-class model, MCMC ⁄We thank Dennis Fok for helpful comments …

towns in Northern California, we develop a latent class model with two segments (final N=373). Age turns out to be the only …