An intuitive framework for Bayesian posterior simulation methods

PURPOSE: Bayesian inference has become popular. It offers several pragmatic approaches to account for uncertainty in inference decision-making. Various estimation methods have been introduced to implement Bayesian methods. Although these algorithms are powerful, they are not always easy to grasp for...

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Detalles Bibliográficos
Autores principales: Bidhendi Yarandi, Razieh, Mansournia, Mohammad Ali, Zeraati, Hojjat, Mohammad, Kazem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445998/
https://www.ncbi.nlm.nih.gov/pubmed/37635729
http://dx.doi.org/10.1016/j.gloepi.2021.100060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445998/
https://www.ncbi.nlm.nih.gov/pubmed/37635729
http://dx.doi.org/10.1016/j.gloepi.2021.100060

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