I prefer Gelman, Hill & Vehtari Regression and Other Stories (ROS). It's also free: https://avehtari.github.io/ROS-Examples https://avehtari.github.io/ROS-Examp

I 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.