Quantitative Methods and Learning
Research Seminar

We cordially invite you to the research seminar “Quantitative Methods and Learning”, organized by the School of Economics and Political Science (Lyudmila Grigoryeva and Tobias Sutter), together with the School of Fi-nance (Can Gao) and the School of Computer Science (Lukas Gonon).

The seminar provides a platform for presenting and discussing cutting-edge research in statistics, econometrics, sta-tistical learning, and machine learning. Its aim is to foster academic exchange and excellence by creating a stimulat-ing environment in which scholars, practitioners, and students can engage with and contribute to advances in quantita-tive methods.

The scope of the seminar spans a broad range of topics related to quantitative analysis and statistical learning tech-niques, focusing on methodological developments in advanced statistical modeling, econometric theory, machine learning, and their applications across economics, finance, and AI-related domains.

The seminar will take place on Tuesdays at 4:15 p.m. (please consult the schedule for specific dates).
 

For more information about the Political Science Research Seminar or to be placed on the weekly mailing list, please contact: