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math.ST2012
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data
Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni
We develop a Bayesian approach for selecting the model which is the most supported by the data within a class of marginal models for categorical variables formulated through equali…
math.ST2010★ 20 cited
An overview of latent Markov models for longitudinal categorical data
F. Bartolucci, A. Farcomeni, F. Pennoni
We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal categorical data. The main assumption behind these models is that the response var…