September 17, 2021
Venue: Lipschitz lecture hall, Mathematics Center, Endenicher Allee 60, 53115 Bonn
Organizer: Lena Janys (University Bonn), Dominik Liebl (University Bonn)
Due to COVID-19, participation must be coupled with proof that each participant is either fully vaccinated, cured or tested negative for COVID-19. This procedure corresponds to the current hygienic regulations. Participation can therefore only be allowed to registered participants.
Keynote Speakers:
- Mathias Drton (Technical University Munich)
- Christian Müller (LMU Munich; Flatiron Institute, New York)
Invited Speakers:
- Gauthier Dierickx (Ruhr-University Bochum)
- Siegfried Hörmann (Technical University Graz)
- Johannes Lederer (Ruhr-University Bochum)
- Angelina Roche (Université Paris Dauphine)
- Simon Scheidegger (Université de Lausanne)
- Ulrike Schneider (Technical University Vienna)
Description: The analysis of high dimensional data is among the most challenging data problems affecting all empirical sciences. As part of the big data revolution, increasing amounts of data are available
to scientists. However, appropriate methods to analyze and process such high dimensional data structures are still being developed. In particular, there is a need for robust methods addressing model selection, uncertainty quantification, and prediction as well as scalable and efficient computational tools for processing high dimensional complex data structures. This interdisciplinary workshop is intended to bring together the leaders from computer science, numerical simulation, econometrics and statistics working on high dimensional data problems. The aim is to foster exchange between the different disciplines and to discuss recent developments and problems.
The talks will be streamed online via Zoom (no Zoom account needed):
Meeting Link: Link
Meeting-ID: 976 6247 9761
Password: 592406
