Doing Bayesian Data Analysis, 2nd Edition

Table of Contents

Cover image

Title page

Copyright

Dedication

Chapter 1: What's in This Book (Read This First!)

1.1 Real people can read this book

1.2 What's in this book

1.3 What's new in the second edition?

1.4 Gimme feedback (Be polite)

1.5 Thank you!

Part I: The Basics: Models, Probability, Bayes’ Rule, and R

Introduction

Chapter 2: Introduction: Credibility, Models, and Parameters

2.1 Bayesian inference is reallocation of credibility across possibilities

2.2 Possibilities are parameter values in descriptive models

2.3 The steps of bayesian data analysis

2.4 Exercises

Chapter 3: The R Programming Language

3.1 Get the software

3.2 A simple example of R in action

3.3 Basic commands and operators in R

3.4 Variable types

3.5 Loading and saving ...