1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2021★ 1 cited
Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
Silvia Pandolfi, Francesco Bartolucci, Fulvia Pennoni
We propose an inferential approach for maximum likelihood estimation of the hidden Markov models for continuous responses. We extend to the case of longitudinal observations the fi…
stat.ME2012
A comparison of some criteria for states selection in the latent Markov model for longitudinal data
Silvia Bacci, Silvia Pandolfi, Fulvia Pennoni
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 Mark…
stat.ME2011
Bayesian inference for a class of latent Markov models for categorical longitudinal data
Francesco Bartolucci, Silvia Pandolfi
We propose a Bayesian inference approach for a class of latent Markov models. These models are widely used for the analysis of longitudinal categorical data, when the interest is i…