A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation

10.1137/20m1345517

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Bibliographic Details
Main Authors:	Xie, Wei, LI CHENG, Wu, Yuefeng, Zhang, Pu
Other Authors:	STATISTICS AND DATA SCIENCE
Format:	Article
Published:	Society for Industrial & Applied Mathematics (SIAM) 2022
Subjects:	nonparametric Bayesian approach design of experiments stochastic simulation Uncertainty quantification input uncertainty Dirichlet process mixtures
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/217276
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-217276
record_format	dspace
spelling	sg-nus-scholar.10635-2172762024-04-03T00:26:08Z A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation Xie, Wei LI CHENG Wu, Yuefeng Zhang, Pu STATISTICS AND DATA SCIENCE nonparametric Bayesian approach design of experiments stochastic simulation Uncertainty quantification input uncertainty Dirichlet process mixtures 10.1137/20m1345517 SIAM/ASA Journal on Uncertainty Quantification 9 4 1527-1552 Completed 2022-03-18T04:48:23Z 2022-03-18T04:48:23Z 2021-01 2022-03-18T04:15:24Z Article Xie, Wei, LI CHENG, Wu, Yuefeng, Zhang, Pu (2021-01). A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation. SIAM/ASA Journal on Uncertainty Quantification 9 (4) : 1527-1552. ScholarBank@NUS Repository. https://doi.org/10.1137/20m1345517 2166-2525 https://scholarbank.nus.edu.sg/handle/10635/217276 Society for Industrial & Applied Mathematics (SIAM) Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	nonparametric Bayesian approach design of experiments stochastic simulation Uncertainty quantification input uncertainty Dirichlet process mixtures
spellingShingle	nonparametric Bayesian approach design of experiments stochastic simulation Uncertainty quantification input uncertainty Dirichlet process mixtures Xie, Wei LI CHENG Wu, Yuefeng Zhang, Pu A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
description	10.1137/20m1345517
author2	STATISTICS AND DATA SCIENCE
author_facet	STATISTICS AND DATA SCIENCE Xie, Wei LI CHENG Wu, Yuefeng Zhang, Pu
format	Article
author	Xie, Wei LI CHENG Wu, Yuefeng Zhang, Pu
author_sort	Xie, Wei
title	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
title_short	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
title_full	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
title_fullStr	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
title_full_unstemmed	A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
title_sort	nonparametric bayesian framework for uncertainty quantification in stochastic simulation
publisher	Society for Industrial & Applied Mathematics (SIAM)
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/217276
_version_	1795301742065221632

A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation

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