This repo contains files for various workshops I teach on Stan (and sometimes the extension Torsten). Material for the following courses can be found here:
- Fundamentals of Stan. (StanCon 2023, TA: Manny Mokel)
- Bayesian Workflow for Hierarchical and ODE-based Models in Stan. (Advanced Summer School on Bayesian Methods 2023, TA: Maxime Fajgenblat, in progress...)
R notebooks can be run using Colab. Participants are expected to write their own Stan files for the exercises (solutions will be provided). In Colab, create a model directory and a new text file under model/. Naming the file with the .stan extension creates a Stan file.