0600 Research Seminar in Statistics and Mathematics
Univ.Prof. Dr. Sylvia Frühwirth-Schnatter, Univ.Prof. Dr. Rüdiger Frey
Weekly hours
Language of instruction
09/20/22 to 10/05/22
Registration via LPIS
Notes to the course
Day Date Time Room
Friday 10/07/22 10:30 AM - 12:00 PM TC.3.01
Friday 10/14/22 10:30 AM - 12:00 PM TC.5.01
Friday 10/21/22 09:00 AM - 10:30 AM Online-Einheit
Wednesday 11/02/22 05:30 PM - 07:00 PM Online-Einheit
Friday 11/11/22 10:30 AM - 12:00 PM TC.3.01
Friday 11/18/22 10:30 AM - 12:00 PM TC.3.01
Friday 11/25/22 10:30 AM - 12:00 PM TC.3.01
Friday 12/02/22 10:30 AM - 12:00 PM TC.3.01
Friday 12/16/22 10:30 AM - 12:00 PM TC.3.01
Friday 01/13/23 10:30 AM - 12:00 PM TC.3.01
Friday 01/20/23 10:30 AM - 12:00 PM TC.3.03

topics that are discussed in the seminar include, among many others (in alphabetical order):

  • applied statistical research in economics, in finance, and in the social sciences
  • Bayesian methods
  • computational statistics
  • mathematical statistics
  • mathematical finance
  • Monte Carlo methods
  • optimization
  • stochastic modelling
  • time series analysis



Learning outcomes
in this course, students learn about current research in statistics and mathematics. Renowned researchers from leading universities present and discuss their (working) papers. The students should learn to critically evaluate the relevance and contribution of the presented papers.
Attendance requirements

Full attendance is compulsory. This means that students should attend at least 80% of all lectures, at most one lecture can be missed.

Teaching/learning method(s)
  • reading of the working paper before the seminar
  • participation at paper presentation and discussion during the seminar
  • personal communication with the researcher after the seminar
  • participation during the presentation and discussion of the papers during the seminar
  • individual exchange with the researchers presenting in the seminar
  • written summary of selected presentations

All items are weighted equally.

Additional information on MyLEARN.

For a overview of the current  program see

Last edited: 2022-04-11