Hausdorff School: “High-Dimensional Statistics”

Hausdorff School on: High Dimensional Statistics Theory and Applications

Dates: July 26 - 30, 2021

Venue: Lipschitz-Saal (Endenicher Allee 60, Bonn)

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

Update: This event is planned as hybrid. 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. 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

Topic: 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.

Key Speakers: The following speakers will give a lecture series:

  •  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)

Please send applications using the form below. Limited financial support for PhD students and postdocs may be available.
To be considered for participation, a CV and Letter of Intent (1 page) are required, as well as the name and contact information of a potential reference. (At this time, do not request a letter of recommendation.) Only one document can be uploaded, so please combine all documentation into one PDF.

Please note: Everyone interested in participating - disregarding whether there is need for financial support or not - has to register so that the participation may be administered. Everyone will be notified in due time about whether participation and partial financial support is possible.

Late applications may be considered, but to be given full consideration, please complete all information before the deadline.

The deadline for applications is 30 April 2021.
In case of questions, please contact the organizers at highdimensional(at)