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Massimo Ventrucci

Professore associato

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA

Pubblicazioni

Ventrucci, Massimo; Vagheggini, Alessandro, A comparison of priors for variance parameters in Bayesian basket trials, 2022. [rapporto tecnico]

Guan, Yawen; Page, Garritt L; Reich, Brian J; Ventrucci, Massimo; Yang, Shu, A spectral adjustment for spatial confounding, «BIOMETRIKA», 2022, 0, pp. 1 - 19 [articolo]

Ventrucci, Massimo; Page, Garritt L, Adjusting for spatial confounding using eigendecomposed CAR models, in: Proceedings of the 36th International Workshop on Statistical Modelling, Nicola Torelli, Ruggero Bellio, Vito Muggeo, 2022, pp. 343 - 347 (atti di: 36th International Workshop on Statistical Modelling, Trieste, Italy, 18-22 July) [Contributo in Atti di convegno]

Garritt L Page; Massimo Ventrucci, Investigating effect of air pollution on health via Spatial-Resolution Varying Coefficient Models, in: Book of the Short Papers, 51st Scientific Meeting of the Italian Statistical Society, Antonio Balzanella, Matilde Bini, Carlo Cavicchia, Rosanna Verde, 2022, pp. 78 - 83 (atti di: 51st Scientific Meeting of the Italian Statistical Society, Caserta, Italy, June 22-24, 2022) [Contributo in Atti di convegno]

Franco Villoria, Maria; Ventrucci, Massimo; Rue, Håvard, Spatial heterogeneity of Covid-19 cases in Italy, in: Proceedings of the 10th International Workshop on Spatio-Temporal Modelling, 2022, pp. 81 - 84 (atti di: 10th International Workshop on Spatio-Temporal Modelling, Lleida, Spain, 1-3 June 2022) [Contributo in Atti di convegno]

Laini A.; Burgazzi G.; Chadd R.; England J.; Tziortzis I.; Ventrucci M.; Vezza P.; Wood P.J.; Viaroli P.; Guareschi S., Using invertebrate functional traits to improve flow variability assessment within European rivers, «SCIENCE OF THE TOTAL ENVIRONMENT», 2022, 832, Article number: 155047, pp. 1 - 10 [articolo]Open Access

Franco Villoria, Maria; Ventrucci, Massimo; Rue, Håvard, Variance partitioning in spatio-temporal disease mapping models, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2022, 31, pp. 1566 - 1578 [articolo]

Franco-Villoria Maria; Ventrucci Massimo; Rue Haavard, Revisiting space-time disease mapping models, in: Proceedings of the GRASPA 2021 Conference, 2021, pp. 73 - 76 (atti di: GRASPA 2021, Virtual Conference organized by Sapienza University of Rome, 7-12 June 2021) [Contributo in Atti di convegno]

Ventrucci M. ; Page G. L., Exploring the link between air pollution and COVID-19 with ecological regression methods, in: Third international conference on Data Science and Social Research, Bari, 2020, pp. 48 - 49 (atti di: Third international conference on Data Science and Social Research, Bari, 10-11 December 2020) [Contributo in Atti di convegno]

Massimo Ventrucci; Maria Franco-Villoria, Mixed models for spatially correlated data using PC priors, in: 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, 2020, pp. 1 - 1 (atti di: 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, virtual conference, 19-21 December 2020) [atti di convegno-abstract]

Ventrucci M.; Cocchi D.; Burgazzi G.; Laini A., PC priors for residual correlation parameters in one-factor mixed models, «STATISTICAL METHODS & APPLICATIONS», 2020, 29, pp. 745 - 765 [articolo]Open Access

Franco-Villoria, Maria; Ventrucci, Massimo; Rue, Håvard, A unified view on Bayesian varying coefficient models, «ELECTRONIC JOURNAL OF STATISTICS», 2019, 13, pp. 5334 - 5359 [articolo]Open Access

Ventrucci M, Franco-Villoria M, Rue H, Modelling complex interactions in spatio-temporal datasets, in: SIS 2019 - Smart Statistics for smart applications, 2019, pp. 1 - 5 (atti di: SIS2019, Milan, June 18-21) [atti di convegno-abstract]

Freni-Sterrantino A, Ventrucci M, Rue H, A note on intrinsic conditional autoregressive models for disconnected graphs, «SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY», 2018, 26, pp. 25 - 34 [articolo]

Castelli E, Papandrea E, Valeri M, Greco F, Ventrucci M, Casadio S, Dinelli BM, ITCZ trend analysis via Geodesic P-spline smoothing of the AIRWAVE TCWV and cloud frequency datasets, «ATMOSPHERIC RESEARCH», 2018, 214, pp. 228 - 238 [articolo]

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