Bayesian Social Science Statistics
From the Very Beginning
Series: Elements in Quantitative and Computational Methods for the Social Sciences;
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Product details:
- Publisher Cambridge University Press
- Date of Publication 24 October 2024
- ISBN 9781009341196
- Binding Paperback
- No. of pages110 pages
- Size 230x150x5 mm
- Weight 176 g
- Language English 598
Categories
Short description:
This Element is an introduction to Bayesian statistics for social science students and practitioners starting from the absolute beginning.
MoreLong description:
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.
MoreTable of Contents:
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.
More
Digital Libraries Applications: CBIR, Education, Social Networks, EScience/Simulation, and GIS
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