A Comparison of Multiple Markov Chains Algorithms for Bayesian Updating-Reference-Cited by-同舟云学术

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A Comparison of Multiple Markov Chains Algorithms for Bayesian Updating

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Sherri Marwan¹,Boulkaibet Ilyes²,Marwala Tshilidzi³,Friswell Michael⁴

Affiliation:

1. University of Johannesburg,Department of Mechanical Engineering Science,Johannesburg,South Africa

2. American University of the Middle East,Electrical Engineering Department,Kuwait City,Kuwait

3. Institute of Intelligent Systems University of Johannesburg,Johannesburg,South Africa

4. College of Engineering Swansea University,Swansea,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698446.pdf?arnumber=9698446

Reference15 articles.

1. A Differential Evolution Markov Chain Monte Carlo Algorithm for Bayesian Model Updating

2. Differential Evolution Markov Chain with snooker updater and fewer chains

3. Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

4. Bayesian Finite Element Model Updating Using a Population Markov Chain Monte Carlo Algorithm;sherri;Special Topics in Structural Dynamics & Experimental Techniques,2020

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