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Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too)

github.com GitHub - rmcelreath/stat_rethinking_2024

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GitHub - rmcelreath/stat_rethinking_2024

cross-posted from: https://programming.dev/post/6990204

Richard McElreath has made his course materials available on GitHub.

However, the course follows the 2nd edition of McElreath's book Statistical Rethinking which is not available in a free digital format.

After watching the first lecture in the Statistical Rethinking 2023 YouTube Playlist, I might go ahead and purchase the text and use this course instead of Trevor Hastie and Rob Tibshirani's An Introduction to Statistical Learning (with Applications in R or Python) course.

I also like that this resource has made an explicit attempt to provide code examples in Julia as well as the more popular Python and R.

I wasn't sure who Richard McElreath was so I did a quick search which revealed his position as Director of the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig.

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