GALIMBERTI, GIULIANO
GALIMBERTI, GIULIANO
DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
Docenti di ruolo di Ia fascia
Using mixtures in seemingly unrelated linear regression models with non-normal errors
In corso di stampa Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele
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
2024 Schiavo G.; Bertolini F.; Bovo S.; Galimberti G.; Munoz M.; Bozzi R.; Candek-Potokar M.; Ovilo C.; Fontanesi L.
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
2024 Berrettini, Marco; Galimberti, Giuliano; Ranciati, Saverio; Murphy, Thomas Brendan
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea
2024 Bonino G.; Galimberti G.; Masina S.; McAdam R.; Clementi E.
Mixtures of Probit Regression Models with Overlapping Clusters
2024 Ranciati, Saverio; Vinciotti, Veronica; Wit, Ernst C.; Galimberti, Giuliano
Molecular phenotyping through metabolomic analyses in pig breeds
2024 M. Bolner, S. Bovo, G. Schiavo, G. Galimberti, F. Bertolini, A. Ribani, M. Gallo, S. Dall'Olio, L. Fontanesi
Combined targeted and untargeted metabolomics in pigs coupled with genomic information: Towards a comprehensive genetic characterization of the pig metabolome
2023 S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, M. Gallo, G. Galimberti, Stefania Dall’Olio, PL. Martelli, R. Casadio, U. Pagotto, L. Fontanesi
Comparative targeted metabolomic profiles of porcine plasma and serum
2023 Bovo, Samuele; Schiavo, Giuseppina; Galimberti, Giuliano; Fanelli, Flaminia; Bertolini, Francesca; Dall'Olio, Stefania; Pagotto, Uberto; Fontanesi, Luca
How heritable are metabolomic features? An omic based approach in pigs
2023 S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, V. Taurisano, M. Gallo, G. Galimberti, S. Dall’olio, P.L. Martelli, R. Casadio, U. Pagotto, L. Fontanesi
Modelling soccer players field position via mixture of Gaussians with flexible weights
2023 Marco Berrettini; Giuliano Galimberti; Thomas Brendan Murphy; Saverio Ranciati
Semiparametric finite mixture of regression models with Bayesian P-splines
2023 Berrettini, M; Galimberti, G; Ranciati, S
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents
2023 Bonino G.; Masina S.; Galimberti G.; Moretti M.
Whole metabolome and genome analyses provide information on the genetic variability affecting the metabolism in pigs
2023 Samuele Bovo,Giuseppina Schiavo, Flaminia Fanelli, Anisa Ribani, Francesca Bertolini, Maurizio Gallo, Giuliano Galimberti, Stefania Dall'olio, Pier Luigi Martelli, Rita Casadio, Uberto Pagatto, Luca Fontanesi
Multivariate cluster-weighted models based on seemingly unrelated linear regression
2022 Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti
Unravelling the genetic basis governing the porcine metabolism
2022 Bovo S., Schiavo G., Fanelli F., Ribani A., Bertolini F., Utzeri V.J., Gallo M., Galimberti G., Dall'Olio S., Martelli P.L., Casadio R., Pagotto U., Fontanesi L.
Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression
2021 Galimberti G.; Nuzzi L.; Soffritti G.
Semiparametric finite mixture of regression models with Bayesian P-splines
2021 Marco Berrettini; Giuliano Galimberti; Saverio Ranciati
A machine learning approach for the identification of population-informative markers from high-throughput genotyping data: Application to several pig breeds
2020 Schiavo G.; Bertolini F.; Galimberti G.; Bovo S.; Dall'olio S.; Nanni Costa L.; Gallo M.; Fontanesi L.
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models
2020 Galimberti G; Soffritti G
Seemingly unrelated clusterwise linear regression
2020 Giuliano Galimberti; Gabriele Soffritti
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Using mixtures in seemingly unrelated linear regression models with non-normal errors | Galimberti, Giuliano; Scardovi, Elena; Soffritti, Gabriele | 9999-01-01 | STATISTICS AND COMPUTING | - | 1.01 Articolo in rivista | - |
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 | Schiavo G.; Bertolini F.; Bovo S.; Galimberti G.; Munoz M.; Bozzi R.; Candek-Potokar M.; Ovilo C....; Fontanesi L. | 2024-01-01 | ANIMAL GENETICS | - | 1.01 Articolo in rivista | Animal Genetics_2024_Schiavo_ML.pdf |
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects | Berrettini, Marco; Galimberti, Giuliano; Ranciati, Saverio; Murphy, Thomas Brendan | 2024-01-01 | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | - | 1.01 Articolo in rivista | JRSSC-Oct-2021-0295R4.pdf |
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea | Bonino G.; Galimberti G.; Masina S.; McAdam R.; Clementi E. | 2024-01-01 | OCEAN SCIENCE | - | 1.01 Articolo in rivista | os-20-417-2024.pdf |
Mixtures of Probit Regression Models with Overlapping Clusters | Ranciati, Saverio; Vinciotti, Veronica; Wit, Ernst C.; Galimberti, Giuliano | 2024-01-01 | BAYESIAN ANALYSIS | - | 1.01 Articolo in rivista | 23-BA1372.pdf |
Molecular phenotyping through metabolomic analyses in pig breeds | M. Bolner, S. Bovo, G. Schiavo, G. Galimberti, F. Bertolini, A. Ribani, M. Gallo, S. Dall'Olio, L.... Fontanesi | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Combined targeted and untargeted metabolomics in pigs coupled with genomic information: Towards a comprehensive genetic characterization of the pig metabolome |
S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, M. Gallo, G. Galimberti, Stefani...a Dall’Olio, PL. Martelli, R. Casadio, U. Pagotto, L. Fontanesi |
2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Comparative targeted metabolomic profiles of porcine plasma and serum | Bovo, Samuele; Schiavo, Giuseppina; Galimberti, Giuliano; Fanelli, Flaminia; Bertolini, Francesca...; Dall'Olio, Stefania; Pagotto, Uberto; Fontanesi, Luca | 2023-01-01 | ANIMAL | - | 1.01 Articolo in rivista | 1-s2.0-S1751731123003464-main.pdf |
How heritable are metabolomic features? An omic based approach in pigs |
S. Bovo, G. Schiavo, F. Fanelli, A. Ribani, F. Bertolini, V. Taurisano, M. Gallo, G. Galimberti, ...S. Dall’olio, P.L. Martelli, R. Casadio, U. Pagotto, L. Fontanesi |
2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Modelling soccer players field position via mixture of Gaussians with flexible weights |
Marco Berrettini; Giuliano Galimberti; Thomas Brendan Murphy; Saverio Ranciati |
2023-01-01 | - | Pearson | 4.01 Contributo in Atti di convegno | - |
Semiparametric finite mixture of regression models with Bayesian P-splines | Berrettini, M; Galimberti, G; Ranciati, S | 2023-01-01 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | - | 1.01 Articolo in rivista | s11634-022-00523-5.pdf |
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents | Bonino G.; Masina S.; Galimberti G.; Moretti M. | 2023-01-01 | EARTH SYSTEM SCIENCE DATA | - | 1.01 Articolo in rivista | essd-15-1269-2023.pdf |
Whole metabolome and genome analyses provide information on the genetic variability affecting the metabolism in pigs | Samuele Bovo,Giuseppina Schiavo, Flaminia Fanelli, Anisa Ribani, Francesca Bertolini, Maurizio Ga...llo, Giuliano Galimberti, Stefania Dall'olio, Pier Luigi Martelli, Rita Casadio, Uberto Pagatto, Luca Fontanesi | 2023-01-01 | ITALIAN JOURNAL OF ANIMAL SCIENCE | - | 4.01 Contributo in Atti di convegno | - |
Multivariate cluster-weighted models based on seemingly unrelated linear regression | Cecilia Diani; Giuliano Galimberti; Gabriele Soffritti | 2022-01-01 | COMPUTATIONAL STATISTICS & DATA ANALYSIS | - | 1.01 Articolo in rivista | CSDA-D-21-00393R2.pdf |
Unravelling the genetic basis governing the porcine metabolism | Bovo S., Schiavo G., Fanelli F., Ribani A., Bertolini F., Utzeri V.J., Gallo M., Galimberti G., D...all'Olio S., Martelli P.L., Casadio R., Pagotto U., Fontanesi L. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression | Galimberti G.; Nuzzi L.; Soffritti G. | 2021-01-01 | STATISTICAL METHODS & APPLICATIONS | - | 1.01 Articolo in rivista | author version.pdf |
Semiparametric finite mixture of regression models with Bayesian P-splines |
Marco Berrettini; Giuliano Galimberti; Saverio Ranciati |
2021-01-01 | - | Firenze University Press | 4.01 Contributo in Atti di convegno | - |
A machine learning approach for the identification of population-informative markers from high-throughput genotyping data: Application to several pig breeds | Schiavo G.; Bertolini F.; Galimberti G.; Bovo S.; Dall'olio S.; Nanni Costa L.; Gallo M.; Fontane...si L. | 2020-01-01 | ANIMAL | - | 1.01 Articolo in rivista | a machine learning approach 1-s2.0-S1751731119002167-main.pdf; 1-s2.0-S1751731119002167-mmc1.docx |
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models | Galimberti G; Soffritti G | 2020-01-01 | STATISTICS & PROBABILITY LETTERS | - | 1.01 Articolo in rivista | 11585_732057.pdf |
Seemingly unrelated clusterwise linear regression | Giuliano Galimberti; Gabriele Soffritti | 2020-01-01 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | - | 1.01 Articolo in rivista | ADAC_2019_galimberti_accepted.pdf |