Foto del docente

Carlo Trivisano

Full Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Head of Department of Statistical Sciences "Paolo Fortunati"

Publications

Enrico Fabrizi, Maria Rosaria Ferrante, Carlo Trivisano, A functional approach to small area estimation of the relative median poverty gap, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2020, 183, pp. 1273 - 1291 [Scientific article]

Gardini A.; Trivisano C.; Fabrizi E., Bayesian inference for quantiles of the log-normal distribution, «BIOMETRICAL JOURNAL», 2020, 62, pp. 1997 - 2012 [Scientific article]

Fabrizi E.; Salvati N.; Trivisano C., Robust Bayesian small area estimation based on quantile regression, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2020, 145, pp. 1 - 15 [Scientific article]

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]

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

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]

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]

Latest news

At the moment no news are available.