Bayesian Social Science Statistics: Volume 2: Getting Productive (Elements in Quantitative and Computational Methods for the Social Sciences) - Tapa dura

Gill, Jeff; Bao, Le

 
9781009598446: Bayesian Social Science Statistics: Volume 2: Getting Productive (Elements in Quantitative and Computational Methods for the Social Sciences)
Tapa dura
ISBN 10: 1009598449 ISBN 13: 9781009598446
Editorial: Cambridge University Press, 2026

Sinopsis

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.

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Editorial
Cambridge University Press
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1009598449
ISBN 13 
9781009598446
Encuadernación
Tapa dura
Número de páginas
116
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

Via Honduras,15
Pomezia
Italia
71
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Otras ediciones populares con el mismo título

9781009340977: Bayesian Social Science Statistics: Getting Productive (Elements in Quantitative and Computational Methods for the Social Sciences)

Edición Destacada

ISBN 10:  1009340972 ISBN 13:  9781009340977
Editorial: Cambridge University Press, 2026
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