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 Fri, 26. Mar 2021   Schwarzbach, Marco

Paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course"

The paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course" by Prof. Dr. Christoph Hanck, Dr. Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto and Prof. Dr. Michael Goedicke was accepted for the internationally peer-reviewed journal Open Education Studies. The publication can be viewed here.

 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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 Fri, 26. Sept 2025

DFG project "Expected Shortfall Modelling" approved

The German Research Foundation (DFG) recently approved the third-party funded project “Expected Shortfall Modelling: Advances for Cross-Sectional and Time Series Data” for three years. Yannick Hoga will work on various projects in...
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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, 11. Sept 2025

Prof. Dr. Yannick Hoga hält Gumbel-Vorlesung auf der Statistischen Woche 2025 in Wiesbaden

Vom 2. bis 5. September 2025 fand in Wiesbaden die Statistische Woche 2025 statt – die größte und bedeutendste deutschsprachige Fachtagung im Bereich Statistik. Organisiert von der Deutschen Statistischen Gesellschaft (DStatG)...
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 Thu, 11. Sept 2025

Präsentationen des Moduls "Advanced R"

Die Präsentationen des Moduls “Advanced R” finden am 02. Oktober 2025 von 9:00 Uhr bis 14:00 Uhr im Raum S06 S00 B08 statt.
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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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 Tue, 10. Sept 2024   Großer, Jan-Lucas

Paper "Parametric Estimation of Tempered Stable Laws"

The paper "Parametric Estimation of Tempered Stable Laws", which has been written by Dr. Till Massing, has been published in the peer-reviewed journal Latin American Journal of Probability and Mathematical Statistics. The...
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