First of all I find that the authors have written an excellent, comprehensive framework on
latent Markov modeling. This model and related models, such as mixture models, latent …

We provide a comprehensive overview of latent Markov (LM) models for the analysis of
longitudinal categorical data. We illustrate the general version of the LM model which …

This article presents a general framework for the analysis of discrete-time longitudinal data
using latent class models. The encompassing model is the mixture latent Markov model, a …

Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …

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 …

This chapter provides a state-of-the-art overview of the use of mixture and latent class
models for the analysis of longitudinal data. It first describes the three basic types mixture …

Latent Markov (LM) models represent an important class of models for the analysis of
longitudinal data (Bartolucci et. al., 2013), especially when response variables are …

We evaluate the performance of the most common estimators of latent Markov (LM) models
with covariates in the presence of direct effects of the covariates on the indicators of the LM …

The latent Markov model (LMM) can either be seen as an extension of the latent class model
for the analysis of longitudinal data or as an extension of the discrete-time Markov chain …

In this review, we give a general overview of latent variable models. We introduce the
general model and discuss various inferential approaches. Afterward, we present several …