Giuliano Galimberti; Gabriele Soffritti, A multivariate linear regression analysis using finite mixtures of t distributions, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2014, 71, pp. 138 - 150 [articolo]
Schiavo, Giuseppina; M. A., Dolezal; Scotti, Emilio; Bertolini, Francesca; Calo', DANIELA GIOVANNA; Galimberti, Giuliano; Russo, Vincenzo; Fontanesi, Luca, Copy number variants in Italian Large White pigs detected using high-density single nucleotide polymorphisms and their association with back fat thickness, «ANIMAL GENETICS», 2014, 45, pp. 745 - 749 [replica/breve intervento]
van Zanten, Boris T.; Verburg, Peter H.; Espinosa, Maria; Gomez-y-Paloma, Sergio; Galimberti, Giuliano; Kantelhardt, Jochen; Kapfer, Martin; Lefebvre, Marianne; MANRIQUE PAREDES, ROSA SOLEDAD; Piorr, Annette; Raggi, Meri; Schaller, Lena; Targetti, Stefano; Zasada, Ingo; Viaggi, Davide, European agricultural landscapes, common agricultural policy and ecosystem services: a review, «AGRONOMY FOR SUSTAINABLE DEVELOPMENT», 2014, 34, pp. 309 - 325 [articolo]
Fontanesi L.; Buttazzoni L.; Galimberti G.; Calò D.G.; Scotti E.; Russo V., Association between melanocortin 4 receptor (MC4R) gene haplotypes and carcass and production traits in Italian Large White pigs evaluated with a selective genotyping approach., «LIVESTOCK SCIENCE», 2013, 157, pp. 48 - 56 [articolo]
Fontanesi, Luca; Dall'Olio, Stefania; Fanelli, Flaminia; Scotti, Emilio; Schiavo, Giuseppina; Bertolini, Francesca; Tassone, Francesco; Samore', ANTONIA BIANCA; Bovo, Samuele; Mazzoni, Gianluca; Gallo, M.; Buttazzoni, L.; Galimberti, Giuliano; Calo', DANIELA GIOVANNA; Martelli, PIER LUIGI; Casadio, Rita; Pagotto, Uberto; Russo, Vincenzo, Combined genomics and metabolomics approaches to identify markers associated with production traits in pigs., «ITALIAN JOURNAL OF ANIMAL SCIENCE», 2013, 12, pp. 25 - 25 [abstract]Open Access
Giuliano Galimberti;Angela Montanari, Discussion of “Model-based clustering and classification with non-normal mixture distributions” by S.X. Lee and G.J. McLachlan, «STATISTICAL METHODS & APPLICATIONS», 2013, 22, pp. 463 - 465 [replica/breve intervento]
Manrique Rosa; Targetti Stefano; Viaggi Davide; Galimberti Giuliano; Raggi Meri., PAC e gestione del paesaggio: quali gli effetti di secondo ordine?, «AGRIREGIONIEUROPA», 2013, 34, pp. 60 - 63 [articolo]
Galimberti G.; Soffritti G., Using conditional independence for parsimonious model-based Gaussian clustering, «STATISTICS AND COMPUTING», 2013, 23, pp. 625 - 638 [articolo]
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]
