Research
Research articles
(2024) Iannario, M., Kateri, M. and Tarantola, C. Modelling scale effects in rating data: a Bayesian approach, Quality & Quantity https://doi.org/10.1007/s11135-023-01827-0
(2024) Facchinetti, S., Osmetti, S.A. and Tarantola, C. A statistical approach for assessing cyber risk via ordered response models, Risk Analysis, 44 (2), 425-438, DOI: 10.1111/risa.14186, ISSN:1539-6924.
(2023) Facchinetti, S., Osmetti, S.A. e Tarantola, C. A statistical approach for assessing cyber risk via ordered response models, Risk Analysis, accepted for publication, DOI: 10.1111/risa.14186, ISSN:1539-6924.
(2023) Facchinetti, S., Osmetti, S.A. e Tarantola, C. Networks Models for cyber attacks evaluation, Socio-Economic Planning Science (in corso di pubblicazione). https://doi.org/10.1016/j.seps.2023.101584.
(2023) Iannario, M., Ntzoufras, I., and Tarantola, C. Diagonal Zero Inflated Bivariate Poisson Regression Models for a sport (in)activity data analysis, in "Models for Data Analysis Selected papers of 49th Meeting of Italian Statistical Society", Springer pp. 161-173, ISBN 978-3-031-15884-1.
(2022) Agresti, A., Tarantola, C. Varriale, R . Simple Ways to Interpret Effects in Modeling Binary Data” in “Trends and Challenges in Categorical Data Analysis”, Springer , Kateri M. and Moustaki, I. (Eds) (forthcoming).
(2021) Iannario, M., and Tarantola, C. , How to Interpret the Effect of Covariates on the Extreme Categories in Ordinal Data Models, Sociological Methods & Research.
(2021) Iannario, M., and Tarantola. C. Effect measures for group comparisons in a two-component mixture model: a cyber risk analysis, in Springer book series in “Statistical Learning and Modeling in Data Analysis Methods and Applications”, Balzano, S., Porzio, G.C., Salvatore, R., Vistocco, D., Vichi, M. (Eds.), pp- 97-107 ISBN 978-3-030-69943-7 (forthcoming).
(2021) Agresti, A., Tarantola, C., and Variale ,R. Interpreting Effects in Generalize Linear Modeling, in “Statistical Learning and Modeling in Data Analysis Methods and Applications”, Balzano, S., Porzio, G.C., Salvatore, R., Vistocco, D., Vichi, M. (Eds.),pp 1-8, ISBN 978-3-030-69943-7 .
(2019) Ntzoufras, I., Tarantola. C. and Lupparelli M. Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models, Bayesian Analysis, Vol 14, Number 3, 777-803
(2018) Agresti, A., and Tarantola, C. Simple Ways to Interpret Effects in Modeling Ordinal Categorical Data, Statistica Neerlandica, Vol72, Number 3, 210-223
(2018) Bassetti, F., De Giuli, M.E. , Nicolino, E. and Tarantola, C. Multivariate Dependence Analysis via Tree Copula Models: An Application to one year forward energy contracts; European Journal of Operational Research, 269, 1107-1121
(2018) Greppi, A. De Giuli, M.e., Tarantola, C., Dennis, M. (2018) Bayesian networks for financial market signals detection”, in Classification, (Big) Data Analysis and Statistical Learning, Mola, F., Conversano, C., Vichi, M (EDS) , Springer, 219-226
(2017) Kateri, M. Gottard, A. and Tarantola, C. (2016) Generalized Quasi Symmetry Models for ordinal Contingency Tables, Australian & New Zealand Journal of Statistics, 59, 239–253
(2016) Dalla Valle, L., De Giuli, M.E., Tarantola, C., and Manelli, C. (2015), Default Probability Estimation via Pair Copula Constructions, European journal of Operational Research, 249, 298–311
(2013) Tarantola, C., Ntzoufras, I, e Lupparelli, M. Graphical marginal log-linear models- a Bayesian perspective, Sociological methodology, 4, 109-113
(2013) Ntzoufras, I e Tarantola, C. (2013). Conjugate and Conditional Conjugate Bayesian Analysis of Discrete Graphical Models of Marginal Independence Computational Statistics & Data Analysis, 66, 161–177
(2012) Tarantola, C., Vicard, P. e Ntzoufras, I. Monitoring and Improving Greek Banking Services Using Bayesian Networks: an Analysis of Mystery Shopping Data. Expert Systems with Applications, Volume 39, Issue 11, 10103–10111
(2012) Bormetti, G., De Giuli, M. E., Delpini, D. e Tarantola C. Bayesian analysis of Value at Risk with product Partition Models. Quantitative Finance, 12, vol 5, 769-780.
(2012) Piatti G, Fasano V, Cantarella G, and Tarantola C. (2012). Body Plethysmographic Study of Specific Airway Resistance (sRaw) in a Sample of Healthy Adults, Respirology.;17(6):976-83.
(2010) De Giuli, M. E., Maggi, M. A., Tarantola, C. Bayesian outlier detection in Capital Asset Pricing Model. Statistical modelling, 10(4), 375-390.
(2008) Tarantola, C., Consonni, G. Dellaportas, P. Bayesian clustering for row effects models. Journal of Statistical Planning and Inference, 138, 2223-2235 .
(2005) Dellaportas, P. e Tarantola, C. Model determination for categorical data with factor level merging. Journal of the Royal Statistical Society, Series B, 67, Part 2., 269-283, Blackwell Publishing, Oxford, UK. Technical supplement. Disponibile sul sito web http://www.stat-athens.aueb.gr/~ptd/rssb.pdf. Contiene le dimostrazioni dei risultati presentati nell’articolo.
(2004) Tarantola, C. MCMC Model determination for Discrete Graphical Models. Statistical Modelling, 4, n.1, 39-61. Edito da Arnold, London.
(2002) Tarantola, C. e Vicard, P. Spanning trees and indentifiability of a single-factor model. Statistical methods and applications , 11, 139-152. Edito da Sprienger–Verlag, Germany.
(1996) Giudici, P. e Tarantola, C. Global prior distributions for the analysis of discrete graphical models. Journal of the Italian Statistical Society, 5, 1, 129-147
Selected Conference Proceedings
(2020) Iannario, M., and Tarantola, C. Bayesian Inference for modelling the Uncertainty by a Mixture Model for rating data, iwsm2020 book of abstract.
(2020) Facchinetti, S., Osmetti, S.A., and Claudia Tarantola, How to perform cyber risk assessment via cumulative logit models, 1083-1086, Book of short papers, SIS 2020, Peason.
(2019) Facchinetti, S. Tarantola, C. Ordered response models for cyber risk, book of Short Papers SIS2019, pages 305-311, ISBN 9788891915108
(2019) Iannario, M. and Tarantola, C. Marginal effects for comparing groups in regression models for ordinal outcome when uncertainty is present, Book of Short Papers, Cladag 2019.
(2018) Tarantola, C., Ntzoufras, I. e Lupparelli, M. Bayesian Estimation of Graphical Log-Linear Marginal Models, Book of short Papers SIS 2018 , Pearson
(2018) Mantzouni, K., Tarantola, C. e Ntzoufras, I. Power Priors for Bayesian Analysis of Graphical Models of Conditional Independence in Three Way Contingency Tables, Book of short Papers SIS 2018 , Pearson
(2017) Agresti, A. and Tarantola, C. . Simple effect measures for interpreting models for ordinal categorical data, , pp. 252-257 in Proceedings of the 32nd International Workshop on Statistical Modelling, Groningen, Netherlands.
(2015) De Giuli, M., Gottardo, P, Moisello, A. M. e Tarantola, C. Bayesian networks for firm performance evaluation, Cladag 2015, book of Abstract, 217-220, CUEC editrice
(2015) Greppi, A., De Giuli, M.E. e Tarantola, C. Bayesian networks for stock picking, Cladag 2015, book of Abstract, 217-220, CUEC editrice,
(2013) Tarantola, C., e Ntzoufras, I (2013). Bayesian Analysis of discrete Bi-directed Graphical Models via Augmented DAG Representation. Electronic Book “Advances in Latent Variables”, Eds. Brentari E., Carpita M., Vita e Pensiero, Milan, Italy
(2011) Tarantola, C., Vicard, P. e Ntzoufras, N. Mysery shopping at Greek Banks: A Bayesian Network Analysis . Book of Abstract, Cladag 2011, p. 50. Pavia University Press
(2011) Dalla Valle, L. De Giuli, M. E., Manelli, C. e Tarantola, C. Default Probability Estimation: Bayesian Pair copula Model, Book of Abstract, Cladag 2011, p. 19. Pavia University Press
(2009) Tarantola C e Ntzoufras, I. (2009) Bayesian Analysis of D-decomposable Bidirected Graphical Models for Discrete Data. Atti convegno S.Co. 2009, Politecnica Editore, 421-436
(2007) De Giuli, M. E. , Tarantola, C. e Uberti. Outlier Detection In Bayesian CAPM Model. Atti del convegno S.Co. 2007, Cluep, 139-144.(2004) Dellaportas, P. e Tarantola, C. Model selection for categorical data with factor level mergings. In Atti del XLII meeting della società Italiana di Statistica, 625-628.
(2003) Bottolo, L., Tarantola, C. e Vicard P. Some notes on Dynamic Decision Graph. In Atti del convegno S.C.O 2003. Modelli complessi e metodi computazionali intensivi per la Stima e la Previsione, CLUEP editore, 93-98.
(2002) Tarantola C. e Blanc E. Dependency network and Bayesian Networks for Web Mining. In Data mining III, WIT Press, UK, 947-954.
(2001) Tarantola, C. e Dellaportas P. Statistical methods for the analysis of contingency tables by using conditional independence relations. In Atti del convegno S.C.O 2001. Modelli complessi e metodi computazionali intensivi per la Stima e la Previsione, CLUEP editore, 169-174.
(2000) Tarantola, C. e Vicard, P. The use of graphs to explore the space of identifiable Models with one latent variable. In Atti del XL meeting della società Italiana di Statistica, 555-558.