Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)
I will be using this book for:

Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

by Richard Mcelreath

statistics Data Science Bayesian Methods
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Statistical Rethinking offers a Bayesian course grounded in statistical science, with examples implemented in R and Stan. It provides a structured resource for readers who want to study Bayesian approaches alongside practical statistical computing and develop a deeper perspective on statistical reasoning.

About This Book

Statistical Rethinking presents a course in Bayesian statistics within the field of statistical science.

The book uses examples in R and Stan to connect statistical ideas with practical computing.

Its focus is on rethinking statistical approaches through a Bayesian framework.

Published as part of the Chapman & Hall/CRC Texts in Statistical Science series, it is suited to readers seeking a structured resource for statistical learning.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: