Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach

Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach

This paper presents a novel adaptation of the conventional approximate Bayesian computation sequential Monte Carlo (ABC-SMC) sampling algorithm for parameter estimation in the presence of uncertainties, coined <i>combinatorial</i> ABC-SMC. Inference of this type is used in situations whe...

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Bibliographic Details
Main Authors: Jah Shamas, Tim Rogers, Anton Krynkin, Jevgenija Prisutova, Paul Gardner, Kirill V. Horoshenkov, Samuel R. Shelley, Paul Dickenson
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Sensors
Subjects:
Bayesian inference
Monte Carlo simulation
structural vibration
uncertainty quantification
Online Access:https://www.mdpi.com/1424-8220/24/15/4883

Internet

https://www.mdpi.com/1424-8220/24/15/4883

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