Foto del docente

Carlo Trivisano

Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

Enrico, Fabrizi; Maria Rosaria Ferrante, ; Carlo, Trivisano, Bayesian small area estimation for skewed business survey variables, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS», 2018, 67, pp. 861 - 879 [Scientific article]

fedele greco; carlo trivisano, Comments on: Some recent work on multivariate Gaussian Markov random fields, «TEST», 2018, 27, pp. 549 - 553 [Scientific article]

Paci L., Trivisano C., Cocchi D., Multivariate stochastic downscaling for semicontinuous data, in: Classification, (Big) Data Analysis and Statistical Learning, Cham, Springer International Publishing, 2018, pp. 107 - 115 [Chapter or essay]

Albonetti, Sabrina; Minardi, Paola; Trombetti, Fabiana; Savigni, Fabiana; Mordenti, Attilio Luigi; Baranzoni, Gian Marco; Trivisano, Carlo; Greco, Fedele Pasquale; Badiani, Anna, In vivo and in vitro effects of selected antioxidants on rabbit meat microbiota, «MEAT SCIENCE», 2017, 123, pp. 88 - 96 [Scientific article]

Enrico, Fabrizi; Carlo, Trivisano, Bayesian Conditional Mean Estimation in Log-Normal Linear Regression Models with Finite Quadratic Expected Loss, «SCANDINAVIAN JOURNAL OF STATISTICS», 2016, 43, pp. 1064 - 1077 [Scientific article]

Paci, Lucia; Bonafè, Giovanni; Trivisano, Carlo, Dynamic Data Fusion Approach for Air Quality Assessment, in: Air Pollution Modeling and its Application XXIV, Cham, Springer International Publishing, 2016, pp. 629 - 633 (SPRINGER PROCEEDINGS IN COMPLEXITY) [Chapter or essay]

Fabrizi, Enrico; Maria Rosaria Ferrante; Trivisano, Carlo, Hierarchical Beta regression models for the estimation of poverty and inequality parameters in small areas., in: Analysis of poverty data by small area methods, Chichester, John Wiley & Sons, 2016, pp. 299 - 314 [Chapter or essay]

Enrico, Fabrizi; Greco, FEDELE PASQUALE; Trivisano, Carlo, On the specification of prior distributions for variance components in disease mapping models, «STATISTICA», 2016, 76, pp. 93 - 111 [Scientific article]

Fabrizi, Enrico; Trivisano, Carlo, Small area estimation of the Gini concentration coefficient, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2016, 99, pp. 223 - 234 [Scientific article]

Fabrizi, Enrico; Trivisano, Carlo, Bayesian Beta regression for the estimation of the Gini concentration coefficient in small domains, in: Statistics and Demography: the Legacy of Corrado Gini, 2015, pp. 1 - 10 (atti di: Statistics and Demography: the Legacy of Corrado Gini, Treviso, 9-11 settembre 2015) [Contribution to conference proceedings]

Maria Rosaria Ferrante; Carlo Trivisano; Enrico Fabrizi, Bayesian small area estimation methods for business survey statistics, in: Proceedings of the 60th World Statistics Congress of the International Statistical Institute - Invited Session, ISI2015, RIO, Brasil, 2015, pp. 86 - 91 (atti di: 60th World Statistics Congress of the ISI2015, Rio De Janeiro, Brazil, 26–31 July 2015) [Contribution to conference proceedings]

Cocchi Daniela; Paci Lucia; Trivisano Carlo, Multivariate downscaling for non-Gaussian data, in: Proceedings of CLADAG 2015, Cagliari, CUEC Editrice, 2015, pp. 191 - 194 (atti di: CLADAG 2015, Santa Margherita di Pula, 8-10 Ottobre 2015) [Contribution to conference proceedings]

Cocchi, D; Cavaliere, G; Freo, M; Giannerini, S; Mazzocchi, M; Trivisano, C; Viroli, C., A support for classifying scientific papers in a University Department, «PROCEDIA ECONOMICS AND FINANCE», 2014, 17, pp. 47 - 54 [Scientific article]

C. Trivisano; E. Fabrizi; V. Trotta, La regressione in R, in: Manuale di microbiologia predittiva. Concetti e strumenti nell'ecologia microbica quantitativa, Milano, Springer-Verlag Italia srl, 2013, pp. 295 - 308 [Chapter or essay]

C. Trivisano; E. Fabrizi, Procedure di regressione lineare e non lineare, in: Manuale di microbiologia predittiva. Concetti e strumenti nell'ecologia microbica quantitativa, Milano, Springer-Verlag Italia srl, 2013, pp. 281 - 294 [Chapter or essay]

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