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Hausdorff School: High-Dimensional Statistics

Sven Otto organizes jointly with former IFS member Michael Vogt (Universität Ulm) a Summer School on recent advances in the field of high-dimensional statistics at the Hausdorff Center for Mathematics which will take place from July 26 - 30, 2021.

Dates: July 26 - 30, 2021

Organizers: Sven Otto (Universität Bonn), Michael Vogt (Universität Ulm)

Location: Online and Lipschitz-Saal (Endenicher Allee 60, Bonn)

Key speakers:
Kengo Kato (Cornell University, US)
Hannes Leeb (University of Vienna, Austria)
Johannes Schmidt-Hieber (University of Twente, Netherlands)
Jane-Ling Wang (University of California, Davis, US)


Many estimation problems in modern statistics are high-dimensional, that is, the number of parameters to be estimated is much higher than the number of available observations. High-dimensional estimation problems have received a lot of attention in recent years and a wide range of statistical tools have been developed to deal with them. Prominent examples are the lasso, boosting algorithms, neural networks and their recent reincarnation in deep learning.

The Hausdorff School, which is directed at graduate students and postdocs, will give insight into recent advances in the field of high-dimensional statistics. The courses will cover topics such as theory for high-dimensional linear models, bootstrap methods in high dimensions, neural networks and functional data analysis.

This event is planned as hybrid: online and in-person. Due to the current situation, we can currently only guarantee online participation. If the pandemic situation allows it, a limited number of people can also participate on-site (Lipschitz-Saal, Endenicher Allee 60, Bonn). Please indicate in the application form whether you prefer online or in-person participation.

The deadline for applications is April 30, 2021. All applicants will be notified by May 10. Invitations will initially be sent out for online participation only. A decision on possible additional on-site participation will be made at a later date. 

Event's website and application: