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If you are struggling to understand the README, I highly recommend the book Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath. Although the examples are in R, the same concepts apply to Pyro (and NumPyro)

[1] https://www.goodreads.com/book/show/26619686-statistical-ret...




I read through the second edition, and would recommend as well [1] (has numpyro, pyro, pymc code). He also has a great lecture series on youtube [2]

[1] https://xcelab.net/rm/

[2] https://www.youtube.com/watch?v=FdnMWdICdRs&list=PLDcUM9US4X...


it's not that complicated that you need to read a whole book just to get a rough idea: it's just a cutesy way to specify a "plate model"[1] and then run inference using that model.

[1]: https://en.wikipedia.org/wiki/Plate_notation





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