Crippa, F., Bertarelli, G., & Mecatti, F. (2021). A spatio-temporal approach to latent variables: modelling gender (I'm)balance in the Big Data era. In T. Rudas (a cura di), Pathways Between Social Science and Computational Social Science (pp. 159-177). Springer.Dettaglio
Arisido, M., Mecatti, F., & Rebora, P. (2020). Bootstrap corrected Propensity Score: Application for Anticoagulant Therapy in Haemodialysis Patients.. In Book of Short Papers SIS 2020 (pp.745-750). Pearson.Dettaglio
Do Carmo, M., Cardozo, G., Mecatti, F., Soca, P., & Hirata, M. (2020). Number of samples for accurate visual estimation of mean herbage mass in Campos grasslands. AGRONOMY JOURNAL, 112(4), 2734-2740.Dettaglio
Conti, P., Marella, D., Mecatti, F., & Andreis, F. (2020). A unified principled framework for resampling based on pseudo-populations: Asymptotic theory. BERNOULLI, 26(2), 1044-1069.Dettaglio
Andreis, F., Conti, P., & Mecatti, F. (2019). On the role of weights rounding in applications of resampling based on pseudopopulations. STATISTICA NEERLANDICA, 73(2), 160-175.Dettaglio