Tutorial at CMStatistics 2023, Berlin.
This is a public repository for sharing materials with participants of the Liesel workshop at CMStatistics 2023, Berlin.
You can find more on the tutorial on the conference website.
- For low-level support, you can contact Johannes Brachem
[email protected] - Please also feel encouraged to ask questions on our discussion board: https://github.com/liesel-devs/liesel/discussions
- Liesel documentation: https://docs.liesel-project.org/en/latest/
To run Liesel on Google colab, you can install it (and some dependencies) with the following command:
!apt install libgraphviz-dev
!pip install pygraphviz
!pip install liesel
!pip install plotnine
Wednesday, 13 December 2023
- 09:00 - 10:00 Theory: Bayesian Inference I
- 10:00 - 11:00 Exercises: A Gentle Introduction to Modern Scientific Computing with Python (Paul)
- 11:00 - 11:30 Coffee break
- 11:30 - 12:30 Theory: Bayesian Inference II
- 12:30 - 13:30 Exercises: MCMC with Liesel-Goose (Paul)
- 13:30 - 15:00 Lunch break
- 15:00 - 16:00 Theory: Bayesian Additive Regression
- 16:00 - 16:30 Exercises: Model development with Liesel I (Johannes)
- 16:30 – 17:00 Coffee break
- 17:00 – 19:30 Exercises: Model development with Liesel II (Johannes)
Thursday, 14 December 2023
- 09:00 - 10:00 Theory: Bayesian Distributional Regression
- 10:00 - 11:00 Exercises: MCMC for Distributional Regression with Liesel-Goose (Johannes)
- 11:00 - 11:30 Coffee break
- 11:30 - 13:30 Exercises: Integrating Python and R with Quarto and Reticulate (Hannes)
- 13:30 - 15:00 Lunch break
- My Liesel graphs always look a little random; they are not nicely ordered. What's wrong?
- You get nice ordering if you install graphviz and its Python interface Pygraphviz. See here: https://github.com/pygraphviz/pygraphviz