Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too)
Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too)
Contribute to rmcelreath/stat_rethinking_2024 development by creating an account on GitHub.
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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His book is THE best book on statistics I've ever read. Thoroughly recommended.
This gives me confidence in my plan. Thanks for the feedback.
How is that confidence interval?
I plan to proceed without considering its significance.