We present a model of voting behaviour based on a version of aggregated overdispersed multinomial distributions; relative to a similar model by \cite…

We illustrate a class of Item Response Theory (IRT) models for binary and ordinal polythomous items and we describe an R package for dealing with the…

Conditions are presented for different types of identifiability of discrete variable models generated over an undirected graph in which one node repr…

Identifiability of parameters is an essential property for a statistical model to be useful in most settings. However, establishing parameter identif…

Many relevant statistical and econometric models for the analysis of longitudinal data include a latent process to account for the unobserved heterog…

Given a random sample of observations, mixtures of normal densities are often used to estimate the unknown continuous distribution from which the dat…

Within the educational context, students' assessment tests are routinely validated through Item Response Theory (IRT) models which assume unidimensio…

We propose a structural equation model, which reduces to a multidimensional latent class item response theory model, for the analysis of binary item …

An approach has been introduced to estimate the causal effect of a treatment over control on the basis of a two-arm experimental study with possible non-compliance. The approach is applicable when the effect of the treatment is measured by a binary …

Motivated by a study about prompt coronary angiography in myocardial infarction, we propose a method to estimate the causal effect of a treatment in …

The behavior of the conditional logistic estimator is analyzed under a causal model for two-arm experimental studies with possible non-compliance in …

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