Jean-Francois Paquet - Bayesian parameter estimation: the soft sector (Interactive)
Channel: JETSCAPE
Date: 21/07/2020

JETSCAPE Online Summer School 2020
Modification of Hard Jets in a Dense Medium 
Interactive

The hands-on material is here:
https://mybinder.org/v2/gh/j-f-paquet/bayesian_parameter_estimation_tutorial/master
https://github.com/j-f-paquet/bayesian_parameter_estimation_tutorial
You should be able to run and edit all the exercises online with Binder.
If you prefer, you can download the repository and run the Jupyter notebook locally. At this point, I assume everyone is able to run a Jupyter notebook.
If you prefer not using Binder and don't know how to run a Jupyter notebook on your local workstation, you can follow instructions from Weiyao Ke here:
https://github.com/keweiyao/JETSCAPE2020-TRENTO-BAYES/blob/master/README.md (edited) 
One issue with Binder is that the Jupyter notebook are run online. As such, your modifications to the notebooks won't be saved anywhere. You can save them by hand by downloading them on your local workstation

Homework
Example by Derek Everett: one parameter, one observable, with a Gaussian process emulator
https://mybinder.org/v2/gh/derekeverett/simple_bayes_with_GP/master
https://github.com/derekeverett/simple_bayes_with_GP