Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty

5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering

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Bibliographic Details
Main Authors:	Lye, Adolphus, Gray, Ander, de Angelis, Marco, Ferson, Scott
Other Authors:	S'PORE NUCLEAR RSCH & SAFETY INITIATIVE
Format:	Conference or Workshop Item
Published:	2023
Subjects:	Interval arithmetic Probability box Bayesian inference Transitional Ensemble Markov Chain Monte Carlo Adaptive pinching Model uncertainty Dependence
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/241905
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-2419052023-06-13T06:28:17Z Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty Lye, Adolphus Gray, Ander de Angelis, Marco Ferson, Scott S'PORE NUCLEAR RSCH & SAFETY INITIATIVE Interval arithmetic Probability box Bayesian inference Transitional Ensemble Markov Chain Monte Carlo Adaptive pinching Model uncertainty Dependence 5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering 2023-06-13T05:53:03Z 2023-06-13T05:53:03Z 2023-06-12 2023-06-13T02:10:45Z Conference Paper Lye, Adolphus, Gray, Ander, de Angelis, Marco, Ferson, Scott (2023-06-12). Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty. 5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/241905 Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Interval arithmetic Probability box Bayesian inference Transitional Ensemble Markov Chain Monte Carlo Adaptive pinching Model uncertainty Dependence
spellingShingle	Interval arithmetic Probability box Bayesian inference Transitional Ensemble Markov Chain Monte Carlo Adaptive pinching Model uncertainty Dependence Lye, Adolphus Gray, Ander de Angelis, Marco Ferson, Scott Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
description	5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering
author2	S'PORE NUCLEAR RSCH & SAFETY INITIATIVE
author_facet	S'PORE NUCLEAR RSCH & SAFETY INITIATIVE Lye, Adolphus Gray, Ander de Angelis, Marco Ferson, Scott
format	Conference or Workshop Item
author	Lye, Adolphus Gray, Ander de Angelis, Marco Ferson, Scott
author_sort	Lye, Adolphus
title	Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
title_short	Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
title_full	Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
title_fullStr	Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
title_full_unstemmed	Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty
title_sort	robust probability bounds analysis for failure analysis under lack of data and model uncertainty
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/241905
_version_	1770563263130501120

Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty

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