Spring School on Mathematical Statistics

March 30 - April 03, 2020
MPI für Mathematik in den Naturwissenschaften Leipzig

As statistics becomes more prominent in a world where data volume and computational power rapidly increase, the need for strong mathematical methods in statistics is evident. This is a one week school on Mathematical Statistics aimed at PhD students, advanced Master's students, or early career researchers interested in statistics and its applications.

We will have three leading experts in diverse domains of the field of mathematical statistics giving lecture courses on their areas of expertise. They will discuss recent developments and set up frontiers for exciting new research. Confirmed speakers are:

Invited speakers are:

  • Anna Klimova (Technical University Dresden)
  • Richard McElreath (Max Planck Institute for Evolutionary Anthropology)
  • Axel Munk (University of Göttingen)

During this week participants will learn relevant topics in mathematical statistics including: functional data analysis, classical mathematical statistics, causality in machine learning, and distributional robustness. The lectures will be complemented with practical problem sessions and discussions to put theory into practice.

There will also be a poster session for interested young participants. A limited amount of funding is available for those who present a poster. If you would like to apply for funding please fill out the necessary boxes during registration. Only complete applications will be taken into consideration. The application deadline is January 24, 2020.

Join us in Leipzig, the music capital of eastern Germany (and "European City of the Year 2019"), in March 2020.

Date and Location

March 30 - April 03, 2020
MPI für Mathematik in den Naturwissenschaften Leipzig
Inselstr. 22
04103 Leipzig

Scientific Organizers

Carlos Améndola
Technical University Munich

Eliana Duarte Gelvez
MPI for Mathematics in the Sciences

Orlando Marigliano
MPI for Mathematics in the Sciences

Administrative Contact

Saskia Gutzschebauch
MPI für Mathematik in den Naturwissenschaften
Contact by Email

12.12.2019, 08:53