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Series:   Elements in Quantitative and Computational Methods for the Social Sciences

Bayesian Social Science Statistics

From the Very Beginning

Published online by Cambridge University Press:  24 October 2024

Jeff Gill  and
Le Bao
Jeff Gill
Affiliation:
American University
Le Bao
Affiliation:
Georgetown University

Summary

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. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.
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Keywords

Bayesian statisticsprobabilityprior distributionposterior distributionlikelihood function
Type
Element
Information
Series: Elements in Quantitative and Computational Methods for the Social Sciences
Online ISBN: 9781009341189
Publisher: Cambridge University Press
Print publication: 24 October 2024

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Bayesian Social Science Statistics
  • Jeff Gill, American University, Le Bao, Georgetown University
  • Online ISBN: 9781009341189
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Bayesian Social Science Statistics
  • Jeff Gill, American University, Le Bao, Georgetown University
  • Online ISBN: 9781009341189
Available formats
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Bayesian Social Science Statistics
  • Jeff Gill, American University, Le Bao, Georgetown University
  • Online ISBN: 9781009341189
Available formats
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