Group Assignment 2.4: The Memory Remains

Due: Friday, December 5th, 2025.

You can access this assignment with the following link: https://classroom.github.com/a/pyA1vzsy

In this workshop we analyze the time series. We first fit a functional model to the data in order to stationarize the data. We address the remaining noise and establish a stochastic model by fitting an AR(1) model to the residuals. Then we put it together and use both to forecast the temperature. Finally we briefly reflect on the analysis of this data by the KNMI.

You can preview this assignment on https://mude.citg.tudelft.nl/workbook-2025/assignments/GA2.4/README.html. After the deadline, this link will include solutions. The preview of the assignment version is shared here: https://mude.citg.tudelft.nl/workbook-2025/no_solutions/assignments/

By Christiaan Tiberius, Serge Kaplev and Caspar Jungbacker, Delft University of Technology. CC BY 4.0, more info on the Credits page of Workbook.