معرفی
Andrea Cerioli is a full Professor of Statistics at the Department of Economics and Management, University of Parma, Italy, since 2002. He specializes in robust statistical methodologies, including the Forward Search approach, multivariate outlier detection, Benford’s Law, and tempered stable distributions, with applications to economic data and international trade fraud detection.
- Ph.D. in Statistics, University of Padua (1992)
- Editor-in-Chief of Statistical Methods and Applications (2011-2015)
- Current Editor of Advances in Data Analysis and Classification
- President of CLADAG (2009-2011)
His research spans robust classification, clustering, and spatial data analysis. He has co-authored over 100 peer-reviewed works, including two Springer books, and has served on numerous conference committees. Recent work focuses on Benford’s Law for fraud detection and tempered stable distributions for modeling heavy-tailed data.
He teaches courses like Data Science for Marketing and Statistics for Management at the University of Parma, contributing to graduate programs in trade and consumer marketing. His editorial and academic leadership roles highlight his influence in statistical methodology development.
