Vom 17.6. bis 20.6.2024 ist eine Gruppe von Studierenden der Universidad Nacional de Colombia zu Gast an der Professur für Angewandte Statistik.

Das Programm ist wie folgt:

Monday, June 17th: FU Berlin

10.00 am – 10.30 am: Welcome by Prof. Marcus and his team at FU Berlin

1. 10.30 am – 12.30 pm: Research presentations by Prof. Marcus’ team
   1. “Scalable Estimation of Signed Exponential Random Graph Models with Local Dependence” by Marc Schalberger
   2. “The Fay-Herriot estimator using kernelheaping - a simulation study” by Felix Skarke
   3. “The State of Replication Code Availability Over Time and Across Fields - Evidence from the German Socio-economic Panel” by Lukas Frink
   4. “The effect of tuition fees on university graduation” by Marc Bachmeier
2. 12.30 pm – 1.30 pm: Joint lunch at the student canteen (Mensa)
3. 2.00 pm – 4.00 pm: (Hybrid) master course “Analysis of panel data” (by Prof. Marcus)
4. Social event in the evening: Beer garden

 

Tuesday, June 18th (FU Berlin)

1. 10.00 am – 10.30 am: Presentation of fu:stat, the statistical consultancy at FU Berlin, Felix Skarke
2. 10.30 am – 11.30 am: Presentation “Studying in Germany”, International Office (Sandra Hallscheidt)
3. 11.30 am – 12.30 pm: Research presentations by Prof. Marcus’ team
   1. “The Role of Public Space: Libraries and Racial Inequality in Education” by Lisa Hanzl
   2. “Small area estimation with generalized random forests: Estimating poverty rates in Mexico” by Nicolas Fink

 

Wednesday, June 19th

 

Thursday, June 20th, Place: Garystraße 21, 14195 Berlin, Room 315

14.00 pm - 14.30 pm Plenary talk by Dr. Mario Arrieta-Prieto: Operational research and statistical modeling for decision making in the context of supply chain management.

14.30 pm - 16.00 pm Presentations by the undergraduate group in statistics:

1. Analysis of criminality in Colombia: Identification of patterns and trends in the frequency of victims.
2. Comparison of models for classification of gray-scale bidimensional images: Functional data and Bayesian convolutional neural networks.
3. Gender barriers in access to undergraduate programs in STEM at UNAL: From enrolment until graduation.
4. An adaptation of Chatterjee’s association coefficient and Azadkia- Chatterjee’s conditional dependence coefficient for time series analysis.

 

5