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 Wed, 14. Oct 2020   Rammert, Timo

Descriptive Statistics WS 20/21

The first online lecture of the module Descriptive Statistics will take place on 03.11.2020 and the first corresponding online exercise on 06.11.2020.

You have to apply for the course in the LSF first. After that you will receive an automatic mail, in which the enrolment key for the corresponding course room on moodle will be sent to you.

In this room, the link to the stream of the lecture and the tutorial as well as other materials will be provided.

 Thu, 12. Mar 2026

Working Student | Commercial Data Analysis (RWE)

RWE Supply & Trading GmbH offers a part-time position for students for a duration of six months. Please see the attached material and the link for more information.
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 Mon, 09. Mar 2026   Jan Dietz

Begrüßung von Yannik Siebert als neuen Doktoranden

Wir freuen uns sehr, Herr Siebert seit vergangenem Montag als neuen Doktoranden an unserem Lehrstuhl begrüßen zu dürfen. Herr Siebert wird im Rahmen seiner Promotion unseren Lehrstuhl in der Forschung als auch in der Lehre...
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 Fri, 13. Feb 2026   Jan Dietz

Paper "How to Compare Copula Forecasts?"

The paper "How to Compare Copula Forecasts?", written by Dr. Tobias Fissler and Prof. Dr. Yannick Hoga, has been accepted for publication in the peer-reviewed journal Journal of Business & Economic Statistics. The publication can...
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 Sun, 14. Dec 2025   Jan Dietz

Jobs für Studierende - ABZ-Online-Stellenmarkt

Ab dem 14.12.2025 ist der “studentische Stellenmarkt der Universität Duisburg-Essen (UDE)” auf dem Portal “Stellenwerk” wiederzufinden. Dort werden Jobangebote für studentische Hilfskräfte (SHK) und wissentschaftliche Hilfskräfte ...
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 Tue, 14. Oct 2025   Jan Dietz

Podcast: Ersetzt KI bald den Prof? Mit Christoph Hanck

In der neusten Folge des Podcast Data Science Talks (#17 auf Spotify) diskutieren Prof. Dr. Christoph Hanck und Prof. Dr. Johannes Lederer (Uni Hamburg) über spannende Fragen rund um das Thema Lehre in Zeiten von generativer KI: ...
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 Thu, 11. Sept 2025

Econometric Seminar for Master Students (ALDI Süd Cooperation)

In the winter semester 2025/26, Prof. Dr. Christoph Hanck will offer in cooperation with Aldi Süd the Master’s/advanced seminar Econometric Methods. The seminar will cover forecasting methods from time series analysis and statisti...
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 Thu, 28. Aug 2025   Jan Dietz

Promotion von Daniel Ollech

Unser Kollege Daniel Ollech hat am 19. August erfolgreich seine Disputation zum Thema “New methods for seasonal adjustment” abgelegt. Wir als Lehrstuhl gratulieren Daniel herzlich zum erfolgreichen Abschluss seiner Promotion! Mit...
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 Fri, 14. Mar 2025

Promotion von Martin C. Arnold

Nicht nur auf dem Rennrad schafft Martin durch viel Ausdauer und Leidenschaft einen Meilenstein nach dem anderen, sondern auch beruflich. Wir gratulieren Martin herzlich zu seiner abgeschlossenen Promotion mit dem Titel “Econometr...
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 Tue, 10. Dec 2024   Großer, Jan-Lucas

Paper "Testing for nonlinear cointegration under heteroskedasticity"

The paper "Testing for nonlinear cointegration under heteroskedasticity", written by Prof. Dr. Christoph Hanck and Dr. Till Massing, has been accepted for publication in the peer-reviewed journal “Econometric Reviews”. The...
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 Fri, 18. Oct 2024   Großer, Jan-Lucas

Rent-an-expert

We encourage early career scientists facing challenges in Data Science, Artificial Intelligence, High Performance Computing, and Research Data Management to apply for this program. In reoccuring calls for application, you can...
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 Thu, 10. Oct 2024   Großer, Jan-Lucas

Farewell to Martin Arnold and Till Massing

We had to bid farewell to our highly esteemed colleagues Martin Arnold and Till Massing, who worked for more than ten years at the Chair of Econometrics. It is therefore appropriate to speak of the end of an era! Both have shaped...
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 Fri, 27. Sept 2024   Großer, Jan-Lucas

Econometrics Master Seminar - in cooperation with ALDI SÜD

In the winter term a seminar will be organized in cooperation with ALDI Süd. Topics covered, are the application of modern predictive tools from time series analysis and/or the statistical learning literature to real retail data....
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