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Massimo Ventrucci

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

Luisa Ferrari, Massimo Ventrucci, Alex Laini, Application of the hierarchical variance decomposition approach to an ecological case study with mixed effects, in: Proceedings of the GRASPA 2023 Conference, Giada Adelfio and Antonino Abbruzzo, 2023, pp. 1 - 6 (atti di: GRASPA-SIS biennal meeting; TIES European Regional meeting, Palermo, 10-11 Luglio) [Contribution to conference proceedings]

Angelini, Francesco; Castellani, Massimiliano; Ventrucci, Massimo, Cumulative information on quality and willingness to pay: a study on wine evaluation, «JOURNAL OF FOODSERVICE BUSINESS RESEARCH», 2023, online first, pp. 1 - 39 [Scientific article]

Massimo Ventrucci; Garritt Page, Estimating short-term air pollution effects on health via spectral methods, in: Proceedings of the 37th International Workshop on Statistical Modelling, Dortmund, TU Dortmund University, 2023, pp. 644 - 647 (atti di: 37th International Workshop on Statistical Modelling, Dortmund, 17-21 July 2022) [Contribution to conference proceedings]

Altieri Linda; Cocchi Daniela; Ventrucci Massimo, Model-based entropy estimation for data with covariates and dependence structures, «ENVIRONMENTAL AND ECOLOGICAL STATISTICS», 2023, 30, pp. 477 - 499 [Scientific article]Open Access

Guan, Yawen; Page, Garritt L; Reich, Brian J; Ventrucci, Massimo; Yang, Shu, Spectral adjustment for spatial confounding, «BIOMETRIKA», 2023, 110, pp. 699 - 719 [Scientific article]

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

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) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]

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 [Scientific article]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 [Scientific article]

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) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]

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) [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 [Scientific article]Open Access

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