University drop-out is a topic of increasing concern in Italy as well as in other countries. In
empirical analysis, university drop-out is generally measured by means of a binary variable …

The majority of model-based clustering techniques is based on multivariate normal models
and their variants. In this paper copulas are used for the construction of flexible families of …

Few studies have examined the influence of marketing activities while accounting for
customer dynamics over time. The authors contribute to this growing literature by extending …

We develop a constrained extremely zero inflated joint (CEZIJ) modeling framework for
simultaneously analyzing player activity, engagement, and dropouts (churns) in app-based …

We introduce a bivariate bidimensional mixed‐effects regression model, motivated by the
analysis of CO 2 CO _2 emission levels and growth on OECD countries from 1990 to 2018 …

The analysis of circular data has been recently the focus of a wide range of literature, with
the general objective of providing reliable parameter estimates in the presence of …

This paper proposes a joint model for longitudinal binary and count outcomes. We apply the
model to a unique longitudinal study of teen driving where risky driving behavior and the …

Although there is substantial literature on the univariate zero-truncated Poisson (ZTP)
distributions, few works have been done for developing multivariate ZTP distributions with …

Two‐part regression models are frequently used to analyze longitudinal count data with
excess zeros, where the same set of subjects is repeatedly observed over time. In this …

Recently, although advances were made on modeling multivariate count data, existing
models really has several limitations:(i) The multivariate Poisson log‐normal model …