Statistics and Data Science Seminar: Unsupervised Statistical Tools for Anomaly Detection: The Case of Healthcare Frauds

Abstract: The research is motivated by the increased interest in detecting possible frauds in healthcare systems. We propose some unsupervised statistical tools (Lorenz curve, concentration function, sum of ranks,  Gini and Pietra indices) to provide efficient and easy-to-use methods aimed to signal possible anomalous behaviors. A more sophisticated method, based on  Bayesian co-clustering, is presented as well.

Bio: Fabrizio Ruggeri (B.Sc. Mathematics Milano, M.Sc. Statistics Carnegie Mellon, Ph.D. Statistics Duke) is Senior Fellow at the Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI) in Milano of CNR (Consiglio Nazionale delle Ricerche) where he had been a researcher from 1988 to May 2023 (as Research Director since 2001). He is member of the Faculty of the Ph.D. programme in Mathematics at the universities of Milano-Bicocca and Pavia. He had various international appointments, including Adjunct Professor at Queensland University of Technology (Brisbane, Australia), International Professor Affiliate at Polytechnic Institute (New York University, USA), Chair of Excellence at Universidad Carlos III and ICMAT-CSIC (Madrid, Spain) and Faculty of the Ph.D. programme in Statistics at the Universidad de Valparaiso (Chile). He is the President-Elect of the International Statistical Institute (ISI) for the 2023-2025 term, after which he will serve as President from 2025 to 2027. He has been President of ENBIS (European Network for Business and Industrial Statistics), ISBA (International Society for Bayesian Analysis) and ISBIS (International Society for Business and Industrial Statistics), and ISI Vice President. He is a Fellow of IMS (Institute of Mathematical Statistics), ASA (American Statistical Association) and ISBA (which also awarded him the first Zellner Medal), and ENBIS Honorary Member. He is Editor-in-Chief of Applied Stochastic Models in Business and Industry and Wiley StatsRef, an online encyclopedia. He is the Director of the Applied Bayesian Statistics summer school organized by CNR-IMATI since 2004 and Chair of the series of workshops on Bayesian Inference in Stochastic Processes. He is a member of the Advisory Scientific Committee of the Institute of Statistics of Academia Sinica, Taiwan. He is author of over 200 articles (including 120 in refereed journals) and author/editor of 6 books. His interests are mostly in Bayesian Statistics and Decision Analysis, especially about robustness, stochastic processes and industrial applications, mainly in reliability. His interests also cover other areas, in particular concentration functions, wavelets and, more recently, healthcare frauds and Adversarial Risk Analysis.

Host: Xuming He