Foto del docente

Giuliano Galimberti

Full Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

Schiavo G.; Bertolini F.; Bovo S.; Galimberti G.; Munoz M.; Bozzi R.; Candek-Potokar M.; Ovilo C.; Fontanesi L., Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds, «ANIMAL GENETICS», 2024, 00, pp. 1 - 13 [Scientific article]Open Access

Bovo, Samuele; Schiavo, Giuseppina; Galimberti, Giuliano; Fanelli, Flaminia; Bertolini, Francesca; Dall'Olio, Stefania; Pagotto, Uberto; Fontanesi, Luca, Comparative targeted metabolomic profiles of porcine plasma and serum, «ANIMAL», 2023, 17, Article number: 101029 , pp. 1 - 9 [Scientific article]Open Access

Marco Berrettini; Giuliano Galimberti; Thomas Brendan Murphy; Saverio Ranciati, Modelling soccer players field position via mixture of Gaussians with flexible weights, in: CLADAG 2023 Book of abstracts and short papers, Pearson, 2023, pp. 351 - 354 (atti di: CLADAG 2023 - 14th Scientific Meeting of the Classification and Data Analysis Group, Salerno, 11-13 settembre 2023) [Contribution to conference proceedings]

Berrettini, M; Galimberti, G; Ranciati, S, Semiparametric finite mixture of regression models with Bayesian P-splines, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2023, 17, pp. 745 - 775 [Scientific article]Open Access

Bonino G.; Masina S.; Galimberti G.; Moretti M., Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents, «EARTH SYSTEM SCIENCE DATA», 2023, 15, pp. 1269 - 1285 [Scientific article]Open Access

Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti, Multivariate cluster-weighted models based on seemingly unrelated linear regression, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2022, 171, Article number: 107451 , pp. 1 - 24 [Scientific article]

Galimberti G.; Nuzzi L.; Soffritti G., Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression, «STATISTICAL METHODS & APPLICATIONS», 2021, 30, pp. 235 - 268 [Scientific article]

Marco Berrettini; Giuliano Galimberti; Saverio Ranciati, Semiparametric finite mixture of regression models with Bayesian P-splines, in: CLADAG 2021 Book of Abstracts and Short Papers, Firenze, Firenze University Press, 2021, pp. 268 - 271 (atti di: CLADAG 2021 13th Scientific Meeting of the Classification and Data Analysis Group, Firenze, 9-11 Settembre 2021) [Contribution to conference proceedings]

Schiavo G.; Bertolini F.; Galimberti G.; Bovo S.; Dall'olio S.; Nanni Costa L.; Gallo M.; Fontanesi L., A machine learning approach for the identification of population-informative markers from high-throughput genotyping data: Application to several pig breeds, «ANIMAL», 2020, 14, pp. 223 - 232 [Scientific article]Open Access

Galimberti G; Soffritti G, A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models, «STATISTICS & PROBABILITY LETTERS», 2020, 157, Article number: 108630 , pp. 1 - 5 [Scientific article]Open Access

Giuliano Galimberti; Gabriele Soffritti, Seemingly unrelated clusterwise linear regression, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2020, 14, pp. 235 - 260 [Scientific article]

Luise D.; Bovo S.; Bosi P.; Fanelli F.; Pagotto U.; Galimberti G.; Mazzoni G.; Dall'Olio S.; Fontanesi L., Targeted metabolomic profiles of piglet plasma reveal physiological changes over the suckling period, «LIVESTOCK SCIENCE», 2020, 231, Article number: 103890 , pp. 1 - 9 [Scientific article]Open Access

Pecoraro, C.; Zudaire, I.; Galimberti, G.; Romeo, M.; Murua, H.; Fruciano, C.; Scherer, C.; Tinti, F.; Diaha, N.C.; Bodin, N.; Chassot, E., When size matters: The gonads of larger female yellowfin tuna (Thunnus albacares) have different fatty acid profiles compared to smaller individuals, «FISHERIES RESEARCH», 2020, 232, Article number: 105726 , pp. 1 - 7 [Scientific article]Open Access

Ranciati, Saverio; Galimberti, Giuliano; Soffritti, Gabriele, Bayesian variable selection in linear regression models with non-normal errors, «STATISTICAL METHODS & APPLICATIONS», 2019, 28, pp. 323 - 358 [Scientific article]Open Access

Ranciati, Saverio; Vinciotti, Veronica; Wit, Ernst C.; Galimberti, Giuliano, CLUSTERING TWO-MODE BINARY NETWORK DATA WITH OVERLAPPING MIXTURE MODEL AND COVARIATES INFORMATION, in: CLADAG 2019 Book of Short Papers, Università degli Studi di Cassino e del Lazio Meridionale, 2019, pp. 395 - 398 (atti di: CLADAG 2019, Cassino, 11-13 Settembre 2019) [Contribution to conference proceedings]

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