Bayesian Data Analysis for the Behavioral and Neural Sciences:

Non-Calculus Fundamentals

Chapter 1: Logic and Data Analysis

Chapter 2: Mechanics of Probability Calculations

Chapter 3: Probability and Information: from Prior to Posterior Probabilities

Chapter 4: Prediction and Decision

Chapter 5: Models and Measurements

Chapter 6: Model Selection

Appendix A: Programming Basics

Appendix B: Exponents and Logarithms

Appendix C: The Bayesian Toolbox:

Marginalization and Coordinate Transformation