8. Homework project

Homework exercise (200 points):

Choose a scientific question and dataset of your own and implement a suitable Bayesian workflow to answer your question. Alternatively, you may design an experiment to answer your question, and work with simulated data. Separate your working into the following topics:

  • Problem statement

  • Model building

  • Model checking

  • Model development

  • Model comparison (optional)

  • Experiment design (optional)

  • Conclusions

You are free to choice any topic, but a few options are also given below.

Example topics

If you have a question/dataset of interest but aren’t sure of a dataset/question to match, then ask to discuss! Questions can be sent to f.capel@tum.de.

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