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 …

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 …

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 …

Latent Markov (LM) models represent an important class of models for the analysis of
longitudinal data, especially when response variables are categorical. These models have a …

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 …

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 …

This chapter deals with longitudinal categorical data. Such data may be of two types, in
general. Type I refers to the situation in which a few subjects are measured repeatedly at …

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 …

Change is the main issue when panel data are collected. This paper focuses on latent class
analysis as a means to represent the regularities in such repeated measurements of the …

This article describes the general time-intensive longitudinal latent class modeling
framework implemented in M plus. For each individual a latent class variable is measured at …