2 ms·
Relatedly, I think for introductory Bayesian analysis, Statistical Rethinking is the best book. It uses R code but you will find GitHub repositories for transla
by malshe 3y ago
Relatedly, I think for introductory Bayesian analysis, Statistical Rethinking is the best book. It uses R code but you will find GitHub repositories for translated Python code.
In the R ecosystem, brms is currently the best (in my opinion) package for people who want to learn Bayesian analysis. Here is an online free book that translated all the original R code to brms code: https://bookdown.org/content/4857/ https://bookdown.org/content/4857/
- nextos 3y agoI prefer Gelman, Hill & Vehtari Regression and Other Stories (ROS). It's also free: https://avehtari.github.io/ROS-Examples https://avehtari.github.io/ROS-Examples. It's a great prequel to Gelman et al. Bayesian Data Analysis (BDA). I have a formal background in Bayesian inference, I do statistics for a living and I still learned many things from ROS. Yet, it is totally approachable for beginners. Statistical Rethinking is something you can read after ROS, before BDA. Personally, I think it is a great book, but it's not a good first book and I think it would benefit from some editing. For example, chapter titles are funny, but totally uninformative if you are browsing the book. Nonetheless, I still think it's a great read.
- blindstitch 3y agoI still refer to the R notebooks I created in doing the question sets for RaOS. A very high quality book.
- malshe 3y agoOh yes, it is an excellent book too.