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⬐ laplacesdemon48

Richard McElreath's content is a breath of fresh air for anyone who's struggled with stats.

I read both editions of his textbook and will be revisiting this new lecture material soon. I highly recommend you check out his book/course if you've been frustrated with trying to learn stats and want to practically understand things without hundreds of pages of proofs.

https://xcelab.net/rm/statistical-rethinking/

⬐ 41b696ef1113

Maybe the title should reflect that this is a newly released version (previous was 2019)?

Like many, I found Richard's lectures to be fantastic to get better intuition about the underlying processes. This course + Think Bayes[0] by Allen Downey did more for my statistical literacy than multiple college + graduate courses.

[0] https://allendowney.github.io/ThinkBayes2/index.html#

⬐ ccosm

The book for this course is a fantastic practical introduction to Bayesian statistical modeling. If you've ever been curious about probabilistic programming give it a shot.

Also if you're rusty in probability and worried about prerequisites, Harvard's Stat110 can serve as a very good foundation (book and lectures are free online).

⬐ iamcreasy

Yes. I've read the first half of the book and it can be read without any deep statistical inference knowledge at all. But it is important to know about linear regression.

⬐ laplacesdemon48

For anyone looking for a refresher, I highly recommend this: https://bookdown.org/probability/beta/

This is actually co-written/edited by Joe Blitzstein, who teaches Harvard's Stat110. What originally sold me on taking a look is this snippet from the foreword:

"This book is primarily a teaching tool, and thus we are not very concerned with proofs unless they promote understanding...There are no Statistics or linear algebra prerequisites."

⬐ rossdavidh

This guy's book, Statistical Rethinking, is great: https://www.goodreads.com/review/show/3765232752

⬐ ivan_ah

FYI, the second video in the series "Statistical Rethinking 2022 Lecture 02" was posted, and you can check out here: https://www.youtube.com/watch?v=guTdrfycW2Q

Here is the playlist for 2022 videos you can bookmark: https://www.youtube.com/playlist?list=PLDcUM9US4XdMROZ57-OIR...

⬐ frakt0x90

I started my Bayesian journey with his book which is fantastic, and if you're still interested, I highly recommend anything by Andrew Gelman. His lectures are captivating and he drops nuggets of intuition every other sentence. He also has at least one very highly regarded book on Bayes and a great website on stats and reproducibility (statmodeling.stat.columbia.edu).

⬐ Quasimoto3000

Having just finished statistical rethinking, what do you recommend I read next?

⬐ usgroup

Honestly? “In all likelihood” by Yudi Pawitan .

It’ll make you go “oh wait, there’s multiple ways to do stats and Bayes isn’t a silver bullet”.