Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Monday | 04/08/24 | 10:00 AM - 01:00 PM | TC.5.28 |
Tuesday | 04/09/24 | 10:00 AM - 01:00 PM | D2.0.031 Workstation-Raum |
Wednesday | 04/10/24 | 10:00 AM - 01:00 PM | D2.0.031 Workstation-Raum |
Thursday | 04/11/24 | 10:00 AM - 01:00 PM | D2.0.031 Workstation-Raum |
Friday | 04/12/24 | 10:00 AM - 01:00 PM | D2.0.031 Workstation-Raum |
Thursday | 06/20/24 | 10:00 AM - 01:00 PM | Online-Einheit |
Friday | 06/21/24 | 10:00 AM - 01:00 PM | Online-Einheit |
- An Introduction to Copulas by R. Nelsen, Springer 2007 (general reference for review of copulas and copula models)
- Elements of Copula Modeling with R by M. Hofert, I. Kojadinovic, M. Mächler and J. Yan, Springer 2018 (general reference for review of inference for copula models)
- Dependence Modeling with Copulas by H. Joe, CRC Press, Boca Raton, FL 2015
- Analyzing Dependent Data with Vine Copulas by C. Czado, Springer 2019
- Vine Copula Based Modeling by C. Czado and T. Nagler, Annu. Rev. Stat. Appl. 2022. 9:453–77
Students will acquire a good understanding of theoretical and practical aspects of modeling dependent multivariate data with copulas. Moreover, they will be able to analyze data and use these models with R.
The course assessment will be based on project work and on an oral presentation of the project.
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This course builds up on the course "Dependence Modeling with Copulas" that I taught in the Winter Semester 2023/24. However, the first lecture will review the concepts and tools from the latter course that will be needed, so it is not necessary that students followed the course in the previous term. Still, some knowledge of copulas and copula models is welcome, albeit elementary.
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