Publications

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2022
M. Andreani, Candila, V., and Petrella, L., “Quantile Regression Forest for Value-at-Risk Forecasting Via Mixed-Frequency Data”, Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Cham, 2022.
2021
M. Andreani, Candila, V., Morelli, G., and Petrella, L., “Multivariate Analysis of Energy Commodities during the COVID-19 Pandemic: Evidence from a Mixed-Frequency Approach”, Risks, vol. 9, p. 144, 2021.
M. Andreani, Candila, V., and Petrella, L., “Quantile Regression Forest with mixed-frequency data”, vol. Book of Short Papers SIS 2021. Pearson, 2021.
2020
V. Dib, Nalon, M. Aurélio, Amazonas, N. Tavares, Vidal, C. Yuri, Ortiz-Rodríguez, I. A., Daněk, J., de Oliveira, M. Formis, Alberti, P., da Silva, R. Aparecida, Precinoto, R. Salomão, and Gomes, T. Figueiredo, “Drivers of change in biodiversity and ecosystem services in the Cantareira System Protected Area : A prospective analysis of the implementation of public policies”, Biota Neotropica, vol. 20, no. 1, 2020.
V. Dib, Nalon, M. Aurélio, Amazonas, N. Tavares, Vidal, C. Yuri, Ortiz-Rodríguez, I. A., Daněk, J., de Oliveira, M. Formis, Alberti, P., da Silva, R. Aparecida, Precinoto, R. Salomão, and Gomes, T. Figueiredo, “Drivers of change in biodiversity and ecosystem services in the Cantareira System Protected Area : A prospective analysis of the implementation of public policies”, Biota Neotropica, vol. 20, no. 1, 2020.
M. Andreani and Petrella, L., “Dynamic Quantile Regression Forest”, SIS 2020 - 50th Conference of the Italian Statistical Society, vol. Book of Short Papers SIS 2020. Pearson, 2020.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, and others, “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, and others, “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
G. Lanciano, Ritacco, A., Cucinotta, T., Vannucci, M., Artale, A., Basili, L., Sposato, E., and Barata, J., “SOM-Based Behavioral Analysis for Virtualized Network Functions”, in Proceedings of the 35th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2020.
2017
N. Atanov, Baranov, V., Budagov, J., Cervelli, F., Colao, F., Cordelli, M., Corradi, G., Dané, E., Davydov, Y. I., Di Falco, S., Diociaiuti, E., Donati, S., Donghia, R., Echenard, B., Flood, K., Giovannella, S., Glagolev, V., Grancagnolo, F., Happacher, F., Hitlin, D. G., Martini, M., Miscetti, S., Miyashita, T., Morescalchi, L., Murat, P., Pezzullo, G., Porter, F., Raffaelli, F., Radicioni, T., Ricci, M., Saputi, A., Sarra, I., Spinella, F., Tassielli, G., Tereshchenko, V., Usubov, Z., and Zhu, R. Y., “The calorimeter of the Mu2e experiment at Fermilab”, Journal of Instrumentation, vol. 12, 2017.
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