Bayesian Social Science Statistics: Volume 1: From the Very Beginning (Elements in Quantitative and Computational Methods for the Social Sciences)

Jeff Gill, Le Bao

ISBN 10: 1009341197 / ISBN 13: 9781009341196

Editore: Cambridge University Press 2024-05-31, 2024

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Codice articolo 6666-GRD-9781009341196

Dati bibliografici

• Titolo: Bayesian Social Science Statistics: Volume 1: From the Very Beginning (Elements in Quantitative and Computational Methods for the Social Sciences)
• Editore: Cambridge University Press 2024-05-31
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1009341197
• ISBN 13: 9781009341196
• Rilegatura: Paperback
• Condizione: New

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Riassunto

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.