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) [Contributo in Atti di convegno]
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 [articolo]
Ranciati, Saverio; Roverato, Alberto; Luati, Alessandra, Fused graphical lasso for brain networks with symmetries, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS», 2021, 70, pp. 1299 - 1322 [articolo]
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) [Contributo in Atti di convegno]
Manuali E.; Forte C.; Porcellato I.; Brachelente C.; Sforna M.; Pavone S.; Ranciati S.; Morgante R.; Crescio I.M.; Ru G.; Mechelli L., A five-year cohort study on testicular tumors from a population-based canine cancer registry in central Italy (Umbria), «PREVENTIVE VETERINARY MEDICINE», 2020, 185, Article number: 105201, pp. 105201 - 105223 [articolo]
Ranciati S.; Wit E.C.; Viroli C., Bayesian smooth-and-match inference for ordinary differential equations models linear in the parameters, «STATISTICA NEERLANDICA», 2020, 74, pp. 125 - 144 [articolo]
Ranciati S.; Vinciotti V.; Wit E.C., Identifying overlapping terrorist cells from the noordin top actor–event network, «THE ANNALS OF APPLIED STATISTICS», 2020, 14, pp. 1516 - 1534 [articolo]
Lanci, Aliai*; Castagnetti, Carolina; Ranciati, Saverio; Sergio, Chiara; Mariella, Jole, A regression model including fetal orbit measurements to predict parturition in Standardbred mares with normal pregnancy, «THERIOGENOLOGY», 2019, 126, pp. 153 - 158 [articolo]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 [articolo]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) [Contributo in Atti di convegno]
Marco Berrettini, Giuliano Galimberti, Thomas Brendan Murphy,
Saverio Ranciati, Mixtures of experts with flexible concomitant covariate effects: a bayesian solution, in: CLADAG 2019 Book of Short Papers, Cassino, Università di Cassino e del Lazio Meridionale - Centro Editoriale di Ateneo, 2019, pp. 87 - 90 (atti di: CLADAG 2019, Cassino, 11-13 settembre 2019) [Contributo in Atti di convegno]
Saverio Ranciati; Giuliano Galimberti; Ernst C. Wit; Veronica Vinciotti, Overlapping mixture models for network data (manet) with covariates adjustment, in: A. Abbruzzo, E. Brentari, M. Chiodi, D. Piacentino, Book of short Papers SIS 2018, Pearson, 2018, pp. 1 - 6 (atti di: 49th Scientific meeting of the Italian Statistical Society, Palermo, 20-22 Giugno 2018) [Contributo in Atti di convegno]
Crispino, Marta; D’Angelo, Silvia; Ranciati, Saverio; Mira, Antonietta, Understanding Dependency Patterns in Structural and Functional Brain Connectivity Through fMRI and DTI Data, in: Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, Studies in Neural Data Science, 2018, 257, pp. 1 - 22 (atti di: StartUp Research 2017, Siena, June, 25th–27th, 2017) [Contributo in Atti di convegno]
Saverio Ranciati, Giuliano Galimberti, Gabriele Soffritti, Bayesian variable selection in linear regression models with non-normal errors, in: F. Greselin, F. Mola, M. Zenga, Cladag 2017. Book of short papers, Mantova, Universitas Studiorum srl, 2017, pp. 1 - 6 (atti di: International Conference of The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), Milan, Italy, September 13-15, 2017) [Contributo in Atti di convegno]
Ranciati, Saverio; Viroli, Cinzia; Wit, Ernst C., Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data, «BIOMETRICAL JOURNAL», 2017, 59, pp. 1301 - 1316 [articolo]
