# 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. If you don't want to make this assignment as part of a grade, access the assignment here: https://github.com/MUDE-2025/GA2.4.

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](https://mude.citg.tudelft.nl/workbook-2025/credits.html).