Jeff Gill, Le Bao

Bayesian Social Science Statistics

• Gebundenes 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.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 110
• Erscheinungstermin: 24. Oktober 2024
• Englisch
• Abmessung: 235mm x 157mm x 11mm
• Gewicht: 322g
• ISBN-13: 9781009494694
• ISBN-10: 1009494694
• Artikelnr.: 69928723

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.