This repo contains a Jupyter notebook and some support files, demonstrating use of the Stan probabilistic programming language to implement a basic Bayesian multilevel model, the gamma-Poisson model, in a mock astronomical setting. Clone it and run the notebook, which is self-documenting. The HTML file provides a rendered version of the executed notebook.
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Example of PyStan use for AAS227 astrostatistics splinter session
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