Book: Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Author: Richard McElreath
I am currently taking a Bayesian Statistics course and reading this book as a part of it. In addition, I am watching a companion course lectures alongside my reading.1
My notes from the book are mixed with the notes from the course videos. Here is a chapter-wise list of notes:
- Golem of Prague
- Small Worlds and Large Worlds
- Sampling the Imaginary
- Statistical_Rethinking-04_Geocentric_models
- Statistical_Rethinking-05_Confounds
- Statistical_Rethinking-07_Fits
- Statistical_Rethinking-08_Markov_Chain_Monte_Carlo
Footnotes
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All the code in the book and the videos can be found here (2023) and here (2024). ↩