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...
Main Authors: | Razieh Bidhendi Yarandi, Mohammad Ali Mansournia, Hojjat Zeraati, Kazem Mohammad |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-11-01
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Series: | Global Epidemiology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590113321000146 |
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