A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
نویسندگان
چکیده
Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 15 June 2020Accepted: 06 August 2021Published online: 01 November 2021Keywordsnonparametric Bayesian approach, design experiments, stochastic simulation, uncertainty quantification, input uncertainty, Dirichlet process mixturesAMS Subject Headings90-10Publication DataISSN (online): 2166-2525Publisher: Society for Industrial and Applied MathematicsCODEN: sjuqa3
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ژورنال
عنوان ژورنال: SIAM/ASA Journal on Uncertainty Quantification
سال: 2021
ISSN: ['2166-2525']
DOI: https://doi.org/10.1137/20m1345517