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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Bibliographic Details
Main Authors: Razieh Bidhendi Yarandi, Mohammad Ali Mansournia, Hojjat Zeraati, Kazem Mohammad
Format: Article
Published: Elsevier 2021-11-01
Series:Global Epidemiology
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