Bayesian Data Analysis for the Behavioral and Neural Sciences: Non-Calculus Fundamentals

This book by Todd E.

Hudson is a game-changer for students in the behavioral, neural, and biomedical sciences who want to learn Bayesian data analysis without needing advanced mathematical techniques.

With its fully self-contained course and worked examples crafted specifically for students, this textbook provides a comprehensive introduction to modern probability theory and data analysis.

By bypassing the need for calculus, this book makes it possible for students to explore Bayesian methods without any prior knowledge of calculus.

The author presents two general algorithms that help students solve measurement and model selection problems, which are most frequently encountered in real-world applications.

This book is an impressive work that will be a useful addition to the growing Bayesian literature aimed at university students.