probabilistic programming workshop

some introductory quarto slides on probabilistic modelling workflows, with a focus on Stan (https://mc-stan.org) and Turing (https://turinglang.org/docs/getting-started/index.html)

The below links direct you to the subfolders in this repo, for each topic. To follow along with the slides you can download the .html file (which should open in your browser)

1. introduction (up and running with PPLs): https://github.com/DomDF/modelling-for-risk-and-safety/tree/master/training_material/modules/01-introduction
2. Bayesian workflow: https://github.com/DomDF/modelling-for-risk-and-safety/tree/master/training_material/modules/02-workflow
3. experimental design: https://github.com/DomDF/modelling-for-risk-and-safety/tree/master/training_material/modules/03-experimental_design

ppls.mov