Giuliano Galimberti

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exact Score Vector and Hessian Matrix for Mixtures of Matrix-Variate Normals.
Stat. Anal. Data Min.
Marco Berrettini, Giuliano Galimberti
2025 J jnl
Mean-restricted Matrix-variate Normals with an application to clustering.
Stat. Comput.
Marco Berrettini, Giuliano Galimberti, Cinzia Viroli
2023 J jnl
Semiparametric finite mixture of regression models with Bayesian P-splines.
Adv. Data Anal. Classif.
Marco Berrettini, Giuliano Galimberti, Saverio Ranciati
2022 J jnl
Multivariate cluster-weighted models based on seemingly unrelated linear regression.
Comput. Stat. Data Anal.
Cecilia Diani, Giuliano Galimberti, Gabriele Soffritti
2020 J jnl
Seemingly unrelated clusterwise linear regression.
Adv. Data Anal. Classif.
Giuliano Galimberti, Gabriele Soffritti
2018 J jnl
Modelling the role of variables in model-based cluster analysis.
Stat. Comput.
Giuliano Galimberti, Annamaria Manisi, Gabriele Soffritti
2016 J jnl
Using mixtures in seemingly unrelated linear regression models with non-normal errors.
Stat. Comput.
Giuliano Galimberti, Elena Scardovi, Gabriele Soffritti
2014 J jnl
A multivariate linear regression analysis using finite mixtures of t distributions.
Comput. Stat. Data Anal.
Giuliano Galimberti, Gabriele Soffritti
2013 J jnl
Discussion of "Model-based clustering and classification with non-normal mixture distributions" by S.X. Lee and G.J. McLachlan.
Stat. Methods Appl.
Giuliano Galimberti, Angela Montanari
2013 J jnl
Using conditional independence for parsimonious model-based Gaussian clustering.
Stat. Comput.
Giuliano Galimberti, Gabriele Soffritti
2011 J jnl
Multivariate linear regression with non-normal errors: a solution based on mixture models.
Stat. Comput.
Gabriele Soffritti, Giuliano Galimberti
2009 J jnl
Penalized factor mixture analysis for variable selection in clustered data.
Comput. Stat. Data Anal.
Giuliano Galimberti, Angela Montanari, Cinzia Viroli
2007 J jnl
Model-based methods to identify multiple cluster structures in a data set.
Comput. Stat. Data Anal.
Giuliano Galimberti, Gabriele Soffritti
2005 — conf
Identifying Multiple Cluster Structures Through Latent Class Models.
GfKl
Giuliano Galimberti, Gabriele Soffritti