The course provides an introduction to probabilistic forecasting
methods, computational methods for Bayesian inference and their
application to dynamical models; a process often called data
assimilation. Typical application areas include weather forecasting,
machine learning and the prediction of financial markets. The course is
taught in English. A basic understanding of numerical analysis,
statistics, and stochastic processes is desirable.
- Kursleiter*in: Jin Won Kim
- Kursleiter*in: Prof. Dr. Sebastian Reich
- Kursleiter*in: Jana de Wiljes