Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data-Reference-Cited by-同舟云学术

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Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data

Published:2024-06 Issue:2 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Lye Adolphus¹^ORCID,Ferson Scott²,Xiao Sicong³

Affiliation:

1. Research Fellow, Singapore Nuclear Research and Safety Initiative, National Univ. of Singapore, 1 CREATE Way, Singapore S138602 (corresponding author). ORCID: .

2. Professor and Director of the Institute for Risk and Uncertainty, Institute for Risk and Uncertainty, Univ. of Liverpool, Liverpool L697ZF, UK.

3. Senior Research Fellow and Principal Investigator, Singapore Nuclear Research and Safety Initiative, National Univ. of Singapore, 1 CREATE Way, Singapore S138602.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1223

Reference95 articles.

1. Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation

2. Approximate Bayesian Computation in Population Genetics

3. Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

4. Fuzzy Probability Theory

5. Imprecise probabilities in engineering analyses

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