Fontanesi L;Schiavo G;Galimberti G;Calò DG;Scotti E;Martelli PL;Buttazzoni L;Casadio R;Russo V, A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes., «BMC GENOMICS», 2012, 13, Article number: 583, pp. 1 - 9 [articolo]Open Access
Galimberti G.; Soffritti G.; Di Maso M., Classification Trees for Ordinal Responses in R: The rpartScore Package, «JOURNAL OF STATISTICAL SOFTWARE», 2012, 47 (Issue 10), pp. 1 - 25 [articolo]
Fontanesi L;Galimberti G;Calò DG;Fronza R;Martelli PL;Scotti E;Colombo M;Schiavo G;Casadio R;Buttazzoni L;Russo V, Identification and association analysis of several hundred single nucleotide polymorphisms within candidate genes for back fat thickness in Italian Large White pigs using a selective genotyping approach., «JOURNAL OF ANIMAL SCIENCE», 2012, 90, pp. 2450 - 2464 [articolo]
G. Galimberti; G. Soffritti, Tree-based methods and decision trees, in: Modern Analysis of Customer Surveys: with applications using R, CHICHESTER, John Wiley & Sons, 2012, pp. 283 - 307 [capitolo di libro]
Fontanesi L.; Galimberti G.; Calò D.G.; Colombo M.; Astolfi A.; Formica S.; Russo V., Microarray gene expression analysis of porcine skeletal muscle sampled at several post mortem time points, «MEAT SCIENCE», 2011, 88, pp. 604 - 609 [articolo]
G. Soffritti; G. Galimberti, Multivariate linear regression with non-normal errors: a solution based on mixture models, «STATISTICS AND COMPUTING», 2011, 21, pp. 523 - 536 [articolo]
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, «STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION», 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) [Contributo in Atti di convegno]
Galimberti G.; Soffritti G., Finite mixture models for clustering multilevel data with multiple cluster structures, «STATISTICAL MODELLING», 2010, 10(3), pp. 265 - 290 [articolo]
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) [Contributo in Atti di convegno]
G. Cavrini; G. Galimberti; G. Soffritti, Evaluating patient satisfaction through latent class factor analysis, «HEALTH & PLACE», 2009, 15, pp. 210 - 218 [articolo]
M. Di Martino; G. Galimberti; G. Soffritti, Evaluating public services through multivariate linear regression analysis, «QUADERNI DI STATISTICA», 2009, 11, pp. 183 - 201 [articolo]
G. Galimberti; A. Montanari; C. Viroli, Penalized factor mixture analysis for variable selection in clustered data, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2009, 53, pp. 4301 - 4310 [articolo]
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) [Contributo in Atti di convegno]
Fontanesi L.; Fronza R.; Scotti E.; Colombo M.; Speroni C.; Tognazzi L.; Galimberti G.; Calò DG; Bonora E.; Vargiolu M.; Romeo G.; Casadio R.; Russo V., The FAGenomicH project: Towards a whole candidate gene approach to identify markers associated with fatness and production traits in pigs and investigate the pig as a model for human obesity, «ITALIAN JOURNAL OF ANIMAL SCIENCE», 2009, 8, pp. 87 - 89 [articolo]Open Access
G. Galimberti; A. Montanari; C. Viroli, latent Classes of Objects and Variable Selection, in: COMPSTAT 2008 - Proceedings in Computational Statistics, HEIDELBERG, Physica-Verlag Springer, 2008, pp. 373 - 383 (atti di: COMPSTAT 2008 - 18th Conference of IASC-ERS, Porto - Portugal, 24-29 Agosto 2008) [Contributo in Atti di convegno]
