We are a dynamic research group at the USC Marshall Business School. The statistics group consists of 17 full-time faculty. The group’s main research interests span the frontiers of modern theoretical and applied statistical methodology in large-scale, high-dimensional, and complex data settings. The prominent directions include statistical machine learning and inference, optimization, personal decision-making, causal inference, theoretical understanding and uncertainty quantification of deep learning, privacy learning, graphical models, functional data analysis, statistical networks analysis, predictive inference and shrinkage methodology, conformal inference, and applications in economics, financial econometrics, marketing, finance, and other business disciplines.
7 Sep 2023
Our PhD student Rashmi won multiple awards, including the first prize at the 2023 Graduate Student Research Conference at NISS, a second prize at the student poster competition in the SNAB 2023 and a travel award for the 2023 IISA annual conference.
10 Aug 2023
Yingying Fan just presented the IMS Medallion Lecture in JSM 2023.
8 Aug 2023
20 July 2023
Gourab Mukherjee joins the Statistica Sinica editorial board.
13 July 2023
Jacob Bien has been awarded the Award in Innovation in Statistical Programming and Analytics (AISPAA) by the ASA Statistical Programmers and Analysts Section.
13 July 2023
Paromita Dubey, Yingying Fan, Adel Javanmard, and Jinchi Lv were awarded NSF grants this summer.