The comparison between classification trees through proximity measures. - Rossella Miglio; Gabriele Soffritti (Comput. Stat. Data Anal., 2004)

Identifying Multiple Cluster Structures Through Latent Class Models. - Giuliano Galimberti; Gabriele Soffritti (GfKl, 2005)

Model-based methods to identify multiple cluster structures in a data set. - Giuliano Galimberti; Gabriele Soffritti (Comput. Stat. Data Anal., 2007)

Multivariate linear regression with non-normal errors: a solution based on mixture models. - Gabriele Soffritti; Giuliano Galimberti (Stat. Comput., 2011)

Using conditional independence for parsimonious model-based Gaussian clustering. - Giuliano Galimberti; Gabriele Soffritti (Stat. Comput., 2013)

A multivariate linear regression analysis using finite mixtures of t distributions. - Giuliano Galimberti; Gabriele Soffritti (Comput. Stat. Data Anal., 2014)

Using mixtures in seemingly unrelated linear regression models with non-normal errors. - Giuliano Galimberti; Elena Scardovi; Gabriele Soffritti (Stat. Comput., 2016)

Modelling the role of variables in model-based cluster analysis. - Giuliano Galimberti; Annamaria Manisi; Gabriele Soffritti (Stat. Comput., 2018)

Seemingly unrelated clusterwise linear regression. - Giuliano Galimberti; Gabriele Soffritti (Adv. Data Anal. Classif., 2020)

Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models. - Gabriele Soffritti (J. Classif., 2021)

Multivariate cluster-weighted models based on seemingly unrelated linear regression. - Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti (Comput. Stat. Data Anal., 2022)

Parsimonious Seemingly Unrelated Contaminated Normal Cluster-Weighted Models. - Gabriele Perrone; Gabriele Soffritti (J. Classif., 2024)