Statistical Rethinking

This book is an excellent resource for those looking to improve their knowledge and understanding of statistical modeling. It takes a unique computational approach, encouraging readers to perform step-by-step calculations that are usually automated to ensure they understand the details well enough to make reasonable choices and interpretations in their own modeling work. The book covers a wide range of topics from the basics of regression to multilevel models and Gaussian process models for spatial and network autocorrelation. It is practical and provides a strong foundation for statistical inference. The book is designed for both PhD students and seasoned professionals in the natural and social sciences, making it an ideal resource for anyone looking to improve their statistical modeling skills.