Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
5 - Bayesian Answers
from Part I - Foundations
Published online by Cambridge University Press: 13 October 2023
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
Summary
This chapter provides a primer on the logic of Bayesian updating and shows how it is used for answering causal queries. We illustrate with applications to correlational and process-tracing inferences.
Keywords
- Type
- Chapter
- Information
- Integrated InferencesCausal Models for Qualitative and Mixed-Method Research, pp. 100 - 130Publisher: Cambridge University PressPrint publication year: 2023