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M. Andreani, Candila, V., and Petrella, L., Quantile Regression Forest with mixed-frequency data, vol. Book of Short Papers SIS 2021. Pearson, 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 for Value-at-Risk Forecasting Via Mixed-Frequency Data, Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Cham, 2022.
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.
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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