Spring School on Mathematical Statistics

March 30 - April 03, 2020
Max Planck Institute for Mathematics in the Sciences

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)
  • Kaie Kubjas (Aalto University)
  • Richard McElreath (Max Planck Institute for Evolutionary Anthropology)

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.

Registration is open until February 29th or until maximum capacity is reached. We are no longer taking applications for funding or posters.

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
Max Planck Institute for Mathematics in the Sciences
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

26.02.2020, 01:27