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Saverio Ranciati

Ricercatore a tempo determinato tipo b) (senior)

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA

Pubblicazioni

Kirk, Cameron; Zia Ur Rehman, Rana; Galna, Brook; Alcock, Lisa; Ranciati, Saverio; Palmerini, Luca; Garcia-Aymerich, Judith; Hansen, Clint; Schaeffer, Eva; Berg, Daniela; Maetzler, Walter; Rochester, Lynn; Del Din, Silvia; Yarnall, Alison J., Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?, «JOURNAL OF PARKINSON'S DISEASE», 2023, 13, pp. 999 - 1009 [articolo]

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]

Ranciati, Saverio; Roverato, Alberto, On the application of the symmetric graphical lasso for paired data, in: Francesco Maria Chelli, Mariateresa Ciommi, Salvatore Ingrassia, Francesca Mariani, Maria Cristina Recchioni, SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation: Book of short papers, 2023, pp. 105 - 109 (atti di: SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation, Ancona, 21-23 Giugno 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]Open Access

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]Open Access

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]