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Massimo Ventrucci

Professore associato

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA


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]

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]

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]

Ventrucci M.; Cocchi D.; Burgazzi G.; Laini A., PC priors for residual correlation parameters in one-factor mixed models, «STATISTICAL METHODS & APPLICATIONS», 2019, -, pp. 1 - 21 [articolo]

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]

Greco F, Ventrucci M, Castelli E, P-spline smoothing for spatial data collected worldwide, «SPATIAL STATISTICS», 2018, 27, pp. 1 - 17 [articolo]

Bruno, F; Cameletti, M; Franco-Villoria, M; Greco, F; Ignaccolo, R; Ippoliti, L; Valentini, P; Ventrucci, M, A survey on ecological regression for health hazard associated with air pollution, «SPATIAL STATISTICS», 2016, 18, pp. 276 - 299 [articolo]

Bruno, Francesca; Greco, Fedele; Ventrucci, Massimo, Non-parametric regression on compositional covariates using Bayesian P-splines, «STATISTICAL METHODS & APPLICATIONS», 2016, 25, pp. 75 - 88 [articolo]

Ventrucci, M; Rue, H, Penalized complexity priors for degrees of freedom in Bayesian P-splines, «STATISTICAL MODELLING», 2016, 16, pp. 429 - 453 [articolo]

Ventrucci, Massimo; Cocchi, Daniela; Marian, Scott, Smoothing of land use maps for trend and change detection in urbanization, «ENVIRONMENTAL AND ECOLOGICAL STATISTICS», 2016, 23, pp. 565 - 584 [articolo]

Bruno, F; Greco, F; Ventrucci, M, Spatio-temporal regression on compositional covariates: modeling vegetation in a gypsum outcrop, «ENVIRONMENTAL AND ECOLOGICAL STATISTICS», 2015, 22, pp. 445 - 463 [articolo]

Ventrucci M.; Bowman A.; Miller C.; Gross J., Quasi-periodic Spatiotemporal Models of Brain Activation in Single-Trial MEG Experiments, «STATISTICAL MODELLING», 2014, 14, pp. 417 - 437 [articolo]

Altieri L.; Cocchi D.; Pezzi G.; Scott M.; Ventrucci M., Urban sprawl scatterplots for Urban Morphological Zones data, «ECOLOGICAL INDICATORS», 2014, 36, pp. 315 - 323 [articolo]

M. Ventrucci; E. M. Scott; D. Cocchi, Multiple testing on standardized mortality ratios: a Bayesian hierarchical model for FDR estimation, «BIOSTATISTICS», 2011, 12 (1), pp. 51 - 67 [articolo]

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