Researcher profile · Semantic Scholar

Gabriele Soffritti

h-index: 12
Works: 48
Citations: 449

Most-cited papers

Classification Trees for Ordinal Responses in R: The rpartScore Package
G. Galimberti, Gabriele Soffritti, M. Di Maso
201273 citations Open access
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A multivariate linear regression analysis using finite mixtures of t distributions
G. Galimberti, Gabriele Soffritti
2014Computational Statistics & Data Analysis45 citations
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Model-based methods to identify multiple cluster structures in a data set
G. Galimberti, Gabriele Soffritti
2007Computational Statistics & Data Analysis42 citations
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The comparison between classification trees through proximity measures
R. Miglio, Gabriele Soffritti
2004Computational Statistics & Data Analysis40 citations
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Multivariate linear regression with non-normal errors: a solution based on mixture models
Gabriele Soffritti, G. Galimberti
2011Statistics and computing39 citations
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Modelling the role of variables in model-based cluster analysis
G. Galimberti, A. Manisi, Gabriele Soffritti
2017Statistics and computing27 citations Open access
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Identifying Multiple Cluster Structures in a Data Matrix
Gabriele Soffritti
200318 citations
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Using mixtures in seemingly unrelated linear regression models with non-normal errors
G. Galimberti, Elena Scardovi, Gabriele Soffritti
2014Statistics and computing16 citations Open access
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Hierarchical clustering of variables: a comparison among strategies of analysis
Gabriele Soffritti
199916 citations
Semantic Scholar
Evaluating patient satisfaction through latent class factor analysis.
G. Cavrini, G. Galimberti, Gabriele Soffritti
2009Health and Place14 citations
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Using conditional independence for parsimonious model-based Gaussian clustering
G. Galimberti, Gabriele Soffritti
2012Statistics and computing13 citations
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Robust regression trees based on m-estimators
G. Galimberti, Marilena Pillati, Gabriele Soffritti
200713 citations
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Tree‐Based Methods and Decision Trees
G. Galimberti, Gabriele Soffritti
201111 citations
Semantic Scholar
Bayesian variable selection in linear regression models with non-normal errors
Saverio Ranciati, G. Galimberti, Gabriele Soffritti
2018Statistical Methods & Applications9 citations Open access
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Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models
Gabriele Soffritti
2021Journal of Classification7 citations Open access
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Assessment of handedness using latent class factor analysis
F. Merni, R. Di Michele, Gabriele Soffritti
2014Laterality7 citations
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Notes on the Robustness of Regression Trees Against Skewed and Contaminated Errors
G. Galimberti, Marilena Pillati, Gabriele Soffritti
20116 citations
Semantic Scholar
Seemingly unrelated clusterwise linear regression for contaminated data
Gabriele Perrone, Gabriele Soffritti
2022Statistical Papers5 citations Open access
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Multivariate cluster-weighted models based on seemingly unrelated linear regression
Cecilia Diani, G. Galimberti, Gabriele Soffritti
2022Computational Statistics & Data Analysis5 citations Open access
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Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression
G. Galimberti, Lorenzo Nuzzi, Gabriele Soffritti
20205 citations Open access
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Joint assessment of handedness and footedness through latent class factor analysis
C. Sacco, R. Di Michele, Gabriele Semprini, F. Merni +1 more
2018Laterality5 citations
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A unified framework for model-based clustering, linear regression and multiple cluster structure detection
G. Galimberti, A. Manisi, Gabriele Soffritti
20155 citations
Semantic Scholar
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models
G. Galimberti, Gabriele Soffritti
20204 citations Open access
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Seemingly unrelated clusterwise linear regression
G. Galimberti, Gabriele Soffritti
2019Advances in Data Analysis and Classification4 citations Open access
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Parsimonious Seemingly Unrelated Contaminated Normal Cluster-Weighted Models
Gabriele Perrone, Gabriele Soffritti
2024Journal of Classification3 citations Open access
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Multiple cluster structures and mixture models: recent developments for multilevel data
G. Galimberti, Gabriele Soffritti
20073 citations
Semantic Scholar
A Collinearity Based Hierarchical Method to Identify Clusters of Variables
A. Laghi, Gabriele Soffritti
20053 citations
Semantic Scholar
Identifying Multiple Cluster Structures Through Latent Class Models
G. Galimberti, Gabriele Soffritti
2005Annual Conference of the Gesellschaft für Klassifikation3 citations
Semantic Scholar
rpartScore: Classification trees for ordinal responses
G. Galimberti, Gabriele Soffritti, M. Di Maso
20122 citations
Semantic Scholar
Proximity Measures Between Classification Trees
R. Miglio, Gabriele Soffritti
20042 citations
Semantic Scholar
Methods to Combine Classification Trees
R. Miglio, Gabriele Soffritti
20032 citations
Semantic Scholar
Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression
G. Galimberti, Lorenzo Nuzzi, Gabriele Soffritti
2020Statistical Methods & Applications1 citations Open access
Semantic Scholar
Using mixtures in seemingly unrelated linear regression models with non-normal errors
G. Galimberti, Elena Scardovi, Gabriele Soffritti
2015Statistics and computing1 citations Open access
Semantic Scholar
Finite mixture models for clustering multilevel data with multiple cluster structures
G. Galimberti, Gabriele Soffritti
20101 citations
Semantic Scholar
Simplifying classification trees through consensus methods
R. Miglio, Gabriele Soffritti
20051 citations
Semantic Scholar
Analysing Dissimilarities through Multigraphs
A. Montanari, Gabriele Soffritti
19991 citations
Semantic Scholar
Cluster-Weighted Analysis of Housing Tension in Italy: The Case of the Emilia-Romagna Region
Gabriele Perrone, Gabriele Soffritti
2025Statistics and Public Policy0 citations Open access
Semantic Scholar
Laterality: Asymmetries of Body, Brain and Cognition, Volume 19, 2014, List of Reviewers
F. Merni, R. Di Michele, Gabriele Soffritti
20140 citations
Semantic Scholar
Articolo sul package "ca" in R (Journal of Statistical Software 2007)
Gabriele Soffritti
20110 citations
Semantic Scholar
Spatial clustering for local analysis
Antonio Giusti co-chair, Gunter Ritter co-chair, D. Baier, Reinhold Decker +34 more
20100 citations
Semantic Scholar
Evaluating Public Services Through Multivariate Linear Regression Analysis.
Gabriele Soffritti, G. Galimberti, M. Di Martino
20090 citations
Semantic Scholar
Multivariate linear regression with non-normal errors: a proposal based on mixture models
Gabriele Soffritti, G. Galimberti
20090 citations
Semantic Scholar
Comparing strategies for robust regression tree construction
G. Galimberti, Marilena Pillati, Gabriele Soffritti
20070 citations
Semantic Scholar
A model-based procedure for detecting multiple cluster structures
G. Galimberti, Gabriele Soffritti
20050 citations
Semantic Scholar
Value-Orientations and Partnership
R. Miglio, L. Pasquini, A. Samoggia, Gabriele Soffritti
20050 citations
Semantic Scholar
Determinants of the kind of partnership in Italy and Spain
R. Miglio, L. Pasquini, A. Samoggia, Gabriele Soffritti
20040 citations
Semantic Scholar
The role of ideational system on the kind of partnership in Southern Europe
L. Pasquini, A. Samoggia, R. Miglio, Gabriele Soffritti
20040 citations
Semantic Scholar
Graph- and multigrafh-theoretic partitioning clustering algorithms for large data sets
Gabriele Soffritti
19970 citations
Semantic Scholar

Gabriele Perrone

×3

L. Pasquini×3

A. Samoggia×3

M. Di Maso×2

A. Manisi×2

Elena Scardovi×2

R. Di Michele×2

Lorenzo Nuzzi×2