Bacci, S.; Pandolfi, S.; Pennoni, F. - In: Advances in Data Analysis and Classification 8 (2014) 2, pp. 125-145
We compare different selection criteria to choose the number of latent states of a multivariate latent Markov model for longitudinal data. This model is based on an underlying Markov chain to represent the evolution of a latent characteristic of a group of individuals over time. Then, the...