Sfoglia per Autore
Multivariate linear regression with non-normal errors: a proposal based on mixture models
2009 G. Soffritti; G. Galimberti
Detecting multiple cluster structures through model-based clustering methods
2009 G. Soffritti; G. Galimberti
Evaluating public services through multivariate linear regression analysis
2009 M. Di Martino; G. Galimberti; G. Soffritti
Evaluating patient satisfaction through latent class factor analysis
2009 G. Cavrini; G. Galimberti; G. Soffritti
Finite mixture models for clustering multilevel data with multiple cluster structures
2010 Galimberti G.; Soffritti G.
Multivariate linear regression with non-normal errors: a solution based on mixture models
2011 G. Soffritti; G. Galimberti
Notes on the robustness of regression trees against skewed and contaminated errors
2011 G. Galimberti; M. Pillati; G. Soffritti
Classification Trees for Ordinal Responses in R: The rpartScore Package
2012 Galimberti G.; Soffritti G.; Di Maso M.
rpartScore: Classification trees for ordinal responses
2012 G. Galimberti; G. Soffritti; M. Di Maso
Tree-based methods and decision trees
2012 G. Galimberti; G. Soffritti
Using conditional independence for parsimonious model-based Gaussian clustering
2013 Galimberti G.; Soffritti G.
A multivariate linear regression analysis using finite mixtures of t distributions
2014 Giuliano Galimberti; Gabriele Soffritti
Assessment of handedness using latent class factor analysis
2014 Merni F.; Di Michele R.; Soffritti G.
Bayesian variable selection in linear regression models with non-normal errors
2017 Saverio Ranciati, Giuliano Galimberti, Gabriele Soffritti
Joint assessment of handedness and footedness through latent class factor analysis
2018 Sacco, Chiara; Di Michele, Rocco; Semprini, Gabriele; Merni, Franco; Soffritti, Gabriele*
Modelling the role of variables in model-based cluster analysis
2018 Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele
Bayesian variable selection in linear regression models with non-normal errors
2019 Ranciati, Saverio; Galimberti, Giuliano; Soffritti, Gabriele
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models
2020 Galimberti G; Soffritti G
Seemingly unrelated clusterwise linear regression
2020 Giuliano Galimberti; Gabriele Soffritti
Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models
2020 Gabriele Soffritti
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