205003 Advanced statistics with R (V+Ü) (WiSe 2024/2025)

This course is an opportunity for you to dive deeper into the world of statistics. The focus of the course will be model selection, validation, prediction, and control. Therefore, different types of data including time series data will be explored using statistical methods used in the analysis of environmental changes as a result of anthropogenic activities and natural events. This course covers the topics data distributions, experimental designs, linear models, generalized linear models, generalized linear mixed models, power analysis, model diagnostics, autoregressive integrated moving average model (ARIMA model), directed acyclic graphs, differences between frequentist and bayesian statistics. R software packages will be used for computation, and a gentle introduction to the R program for statistical programming will be given. Therefore, prior knowledge of R programming basics is a plus but not mandatory. The course will be more interactive, with short exercises and projects, where participants are encouraged to work on different problems. After this course, you will confidently choose and validate your statistical model(s) for your own research.