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stat_rethinking_2024 reviews and mentions
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Ask HN: What Are You Learning?
+1 for the Rethinking Statistics book by McElreath. I recently took the 2024 edition of the self-paced course https://github.com/rmcelreath/stat_rethinking_2024 and the lectures on youtube are amazing. He's not just teaching stats, but how to do science!
Another, more basic, book on Bayesian stats is: https://allendowney.github.io/ThinkBayes2/ The author uses the grid approximation for everything, so there is no need to get into Stan or other framework.
Myself, I'm still trying to (re)learn frequentist stuff properly (will post a separate comment about that), but the deeper I go the more convinced I am that it is total crap, and my desire to convert to the church of Bayes increases...
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Bayesians Moving from Defense to Offense
Thanks for the "Statistical Rethinking" recommendation. I had watched some of McElreath's lectures so I knew of the book, but next year I think I'm finally going to read it from end to end and follow along the 2024 course schedule: https://github.com/rmcelreath/stat_rethinking_2024#calendar-...
I had previously started the BDA course, which is another famous Bayesian course, see https://avehtari.github.io/BDA_course_Aalto/ but I didn't finish it due to travel.
No more excuses in 2024... time to level-up the Bayesian modelling skill ;)
- Statistical Rethinking (2024 Edition)
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www.saashub.com | 2 May 2024
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rmcelreath/stat_rethinking_2024 is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.
The primary programming language of stat_rethinking_2024 is R.
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