Foto del docente

Gabriele Soffritti

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

G. Galimberti; M. Pillati; G. Soffritti, Notes on the robustness of regression trees against skewed and contaminated errors, in: New Perspectives in Statistical Modeling and Data Analysis, BERLIN, Springer-Verlag, 2011, pp. 255 - 263 (atti di: 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, Italy, September 9-11, 2009) [Contribution to conference proceedings]

Galimberti G.; Soffritti G., Finite mixture models for clustering multilevel data with multiple cluster structures, «STATISTICAL MODELLING», 2010, 10(3), pp. 265 - 290 [Scientific article]

G. Soffritti; G. Galimberti, Detecting multiple cluster structures through model-based clustering methods, in: Classification and Data Analysis 2009, PADOVA, CLEUP, 2009, pp. 263 - 266 (atti di: 7° Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, Italy, September 9-11 2009) [Contribution to conference proceedings]

G. Cavrini; G. Galimberti; G. Soffritti, Evaluating patient satisfaction through latent class factor analysis, «HEALTH & PLACE», 2009, 15, pp. 210 - 218 [Scientific article]

M. Di Martino; G. Galimberti; G. Soffritti, Evaluating public services through multivariate linear regression analysis, «QUADERNI DI STATISTICA», 2009, 11, pp. 183 - 201 [Scientific article]

G. Galimberti; M. Pillati; G. Soffritti, Some issues on robustness of regression trees, in: Classification and Data Analysis 2009, PADOVA, CLEUP, 2009, pp. 147 - 150 (atti di: 7° Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, Italy, 9-11 Settembre 2009) [Contribution to conference proceedings]

G. Galimberti; M. Pillati; G. Soffritti, Robust regression tree-based methods, in: AUTORI VARI, First joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society, NAPOLI, Edizioni Scientifiche Italiane, 2008, pp. 305 - 308 (atti di: Joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society, Caserta, Italy, 11-13 luglio 2008) [Contribution to conference proceedings]

G. Galimberti; G. Soffritti, Model-based methods to identify multiple cluster structures in a data set, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2007, 52, pp. 520 - 536 [Scientific article]

G. Galimberti; G. Soffritti, Multiple cluster structures and mixture models: recent developments for multilevel data, in: Classification and Data Analysis 2007, MACERATA, Edizioni Università di Macerata, 2007, pp. 203 - 206 (atti di: Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, Macerata, 12-14 Settembre 2007) [Contribution to conference proceedings]

G. Galimberti; M. Pillati; G. Soffritti, Robust regression trees based on M-estimators, «STATISTICA», 2007, 2, pp. 173 - 190 [Scientific article]

G. Galimberti; G. Soffritti, Identifying multiple cluster structures through latent class models, in: From Data and Information Analysis to Knowledge Engineering, BERLIN, Springer, 2006, pp. 174 - 181 (Studies in Classification, Data Analysis, and Knowledge Organization) [Chapter or essay]

A. Laghi; G. Soffritti, A collinearity based hierarchical method to identify clusters of variables, in: New developments in classification and data analysis, BERLIN, Springer, 2005, pp. 55 - 62 (Studies in classification, data analysis, and knowledge organization) [Chapter or essay]

G. Galimberti; G. Soffritti, A model-based procedure for detecting multiple cluster structures, in: Classification and data analysis 2005, PARMA, Monte Università Parma, 2005, pp. 97 - 100 (atti di: CLADAG 2005, Università di Parma, 6-8 giugno 2005) [Contribution to conference proceedings]

R. Miglio; G. Soffritti, Simplifying classification trees through consensus methods, in: New developments in classification and data analysis, BERLIN, Springer, 2005, pp. 31 - 37 (Studies in classification, data analysis, and knowledge organization) [Chapter or essay]

G. Cavrini; G. Galimberti; G. Soffritti, Un'analisi della soddisfazione dei pazienti del Policlinico S.Orsola-Malpighi di Bologna basata su modelli multilevel di classe latente, in: Valutazione e customer satisfaction per la qualità dei servizi, ROMA, Centro Stampa d'Ateneo - Università La Sapienza, 2005, pp. 61 - 64 (atti di: Valutazione e customer satisfaction per la qualità dei servizi, Facoltà di Scienze Statistiche, Università di Roma "La Sapienza", 8-9 settembre 2005) [Contribution to conference proceedings]

Latest news

At the moment no news are available.