Jeff Gill (American University), Le Bao (Georgetown University)

Bayesian Social Science Statistics

• Broschiertes Buch

Produktbeschreibung

In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data.

Produktdetails

• Elements in Quantitative and Computational Methods for the Social Sciences
• Verlag: Cambridge University Press
• Seitenzahl: 110
• Erscheinungstermin: 24. Oktober 2024
• Englisch
• Abmessung: 229mm x 152mm x 6mm
• Gewicht: 176g
• ISBN-13: 9781009341196
• ISBN-10: 1009341197
• Artikelnr.: 69928753

Inhaltsangabe

1. Introduction: the purpose and scope of this book
2. Basic probability principles and Bayes law
3. What is a likelihood function and why care
4. The core of Bayesian inference: prior times likelihood
5. Prior probabilities and the progression of human knowledge
6. Integrals and expected value: not as scary as they look
7. Software calculation of Bayesian models
8. Evaluating and comparing model results
9. Case study I: election polling and Bayesian updating
References.