U7, Piano: III, Stanza: 322
Via Bicocca degli Arcimboldi 8 - 20126 MILANO
Full professor
Academic disciplines: 
Reception Hours: 

Tue  h. 3–5pm   Bldg. U7   3rd floor  office 3106 (ex322)


  • 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.
  • 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, 1-7.
  • Nicolussi, F., Mecatti, F., & Conti, P. (2019). A Simplified Efficient and Direct Unequal Probability Resampling. In G. Arbia, S. Peluso, A. Pini, & G. Rivellini (a cura di), Smart Statistics for Smart Applications. Book of Short Papers SIS2019 (pp. 441-448). Pearson WWW.PEARSON.COM.
  • 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.
  • Bertarelli, G., Mecatti, F., & Crippa, F. (2018). A Special Gen(d)re of Big Data: Potentials of the Data Revolution to Model Gender (im)Balance. In Book of Abstracts 5th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop (pp.23-24).