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The KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE proudly presents: KCDS Talks, a monthly series of short lectures from basic knowledge to trending topics in computational and data science.

In September, Dr. Rebekka Buse (Statistical Methods & Econometrics at KIT) joins us for a talk entitled ""Econometric Methods For Dynamic Networks". Rebekka is a postdoctoral researcher at KIT, Institute for Statistics. She received her PhD from KIT in 2019, during which she collaborated with the Bank for International Settlements in Basel. Previously, she worked at Leibniz University Hannover, Humboldt University Berlin and ENSAE Paris. Her research interests include network measures and time series methods for financial and energy data.

Abstract

After giving an introduction to measuring dynamic networks, we will dive into understanding the European credit risk network and how this was affected by policies and regulations during the sovereign debt crisis. We will explore relevant aspects to consider when measuring networks and further applications in industry and electricity markets.

If you are a master student, a doctoral researcher, a senior researcher or just interested in the topics - join us!

(for free and without registration)