Fabrizio Ruggeri

Profesor Visitante

Educación

• Bachiller en Matemática, Universita degli Studi, Milano, Italy
• Maestría en Estadística, Carnegie Mellon University, Pittsburgh, USA
• Doctorado en Estadística, Duke University, Durham, USA

Intereses académicos

• Estadística bayesiana, procesos estocásticos

Publicaciones

• Leiva, V., Ruggeri, F., Saulo, H. and Vivanco, J.F. (2017), A new methodology based on the Birnbaum-Saunders distribution for reliability analysis of nanomaterials. Reliability Engineering and Systems Safety, 157, 192-201.
• Caron, F., Pierini, B. and Ruggeri, F. (2016), A Bayesian approach to improve estimates to complete. International Journal of Project Management, 34, 16871702.
• Karny, M., Guy, T.V., Kracik, J., Nedoma, P., Bodini, A. and Ruggeri, F. (2014), Fully Probabilistic Knowledge Expression and Incorporation. Statistics and its Interface, 7, 503-515.
• Ekin, T., Ieva, F., Ruggeri, F. and Soyer, R. (2013),Applicationsof Bayesian methods in detection of healthcare frauds. Chemical Engineering Transactions, 33, 151-156.
• Pievatolo, A., Ruggeri, F. and Soyer, R. (2012), A Bayesian Hidden Markov Model for Imperfect Debugging. Reliability Engineering and Systems Safety, 103, 11-21.
• Leiva V., MarchantC., Ruggeri F. and H. Saulo (2015), A criterion for environmental assessment using Birnbaum-Saunders attribute control charts. Environmetrics, 26, 463-476.

Maestría en Matemática