We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

A multivariate hidden Markov model is proposed to explain the price evolution of Bitcoin, Ethereum, Ripple, Litecoin, and Bitcoin Cash. The observed daily log-returns of these five major cryptocurrencies are modeled jointly. They are assumed to be correlated according to a variance-covariance...

We extend to the longitudinal setting a latent class approach that has beed recently introduced by \cite{lanza:et:al:2013} to estimate the causal effect of a treatment. The proposed approach permits the evaluation of the effect of multiple treatments on subpopulations of individuals from a...

We review the discrete latent variable approach, which is very popular in statistics and related fields. It allows us to formulate interpretable and flexible models that can be used to analyze complex datasets in the presence of articulated dependence structures among variables. Specific models...

Assessment of the eEurope 2005 Action Plan Benchmarking Index “E-Business Readiness Composite Indicator” using data collected by National Statistical Institutes and harmonised by Eurostat, using surveys “ICT usage of enterprises”, with reference years 2003 and 2004. This report contains...

We use the first three waves of the Millennium Cohort Study (MCS), a longitudinal and representative UK survey, to explore the interrelationship between parental divorce, parental temporary separation and parental relationship quality on cognitive abilities and psychological dimensions of the...