lacerbi/nyu2023-bayes

Tutorial on Bayesian model fitting with (Py)VBMC.

Bayesian model fitting made easy with Variational Bayesian Monte Carlo - (Py)VBMC

Tutorial on Bayesian model fitting using the (Py)VBMC package, presented at a workshop at the Center for Neural Science at New York University (January 2023).

• Lecturer: Luigi Acerbi, @AcerbiLuigi (University of Helsinki).
• Slides: PDF
• Code: The tutorial is available both as a MATLAB script and as a Python Jupyter notebook.

For more information on our model fitting tools and software, check out our group GitHub page.

Instructions

• To run the tutorial, download / clone this repository locally.
• Please ensure that you have (Py)VBMC installed:
  • Python: Install the PyVBMC package. You can follow the simple instructions here.
  • MATLAB: Download and install the VBMC toolbox. You can follow the simple instructions here.

License

Unless stated otherwise, the material in this repo is released under the MIT License.