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Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical & critical statistical workflow, from basics of probability to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list & links:
20 条评论

Great! Is there a change log compared to 2023?

Congrats! I’ve been loving implementing global-local shrinkage priors like R2D2. I reckon those priors are pretty Rethinking-esque. Would you ever cover them?

They will be in 3rd edition yes. Plan is to revise overfitting chapter with R2D2. I want to do a lot more priors on higher levels in other chapters too.

Nice! I’ve actually moved to student-t priors on global variance with Dirichlet or logistic normal decomp. R2D2 doesn’t make much sense for GLMs (eg, low R2 with small intercept Poisson models).

Is the new edition also coming out soon?

Just wanted to say thanks - Statistical Rethinking is one of my all time favorite textbooks (in any subject).

Thank you so much sharing. Really enjoying this year

Great! Thanks

Thanks

Thank you!

Thank you for sharing this amazing material.

Loved your 2023 lectures. Thank you so much for sharing publicly

Amazing course, thanks Richard.

Thank you. Always informative and oddly entertaining. You're such a good professor.

Love the Kraftwerk soundtrack!

Amazing, thanks. Any way to get the code in python?

many of the book examples have code translations listed here

Wow amazing how this keeps on getting better 👍

Hi Richard! Really enjoyed your lectures! The references are very fun too. But the president death example felt like bad taste imho.

Thank you!

![.Joy Taylor on the Lamar Jackson’s MVP candidacy: “If we just compare statistics year to year, then it’s just a statistical award & we don’t need to get into [anything else], but that’s not what this is. It’s MVP … We’re all experiencing greatness.”](https://image.24vids.com/tw-1742228904931164568/media/GCydo3ebAAEvptg.jpg)
