Ricerc@Sapienza

This paper develops a two-part finite mixture quantile regression model for semi-continuous longitudinal data. The components of the finite mixture are associated

This paper develops a Mixed Hidden Markov Model for joint estimation of multiple quantiles in a multivariate linear regression for longitudinal data. This method accounts for association among multiple responses and study how the relationship between dependent and explanatory variables may vary across different quantile levels of the conditional distribution of the multivariate response variable.