A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory
type: Item
instance of: scholarly article
title: A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory
zbMATH Open document ID: 1173.62301
author: J. D. Johnson
author: Jon C. Helton
author: William L. Oberkampf
author: Curtis B. Storlie
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2009-11-06T00:00:00Z
full work available at URL: metadc884998
Mathematics Subject Classification ID: 62A01
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5626608
zbMATH Keywords: Dempster-Shafer theory
zbMATH Keywords: epistemic uncertainty
zbMATH Keywords: evidence theory
zbMATH Keywords: Monte Carlo
zbMATH Keywords: numerical uncertainty propagation
zbMATH Keywords: sensitivity analysis
zbMATH Keywords: uncertainty analysis
describes a project that uses: SemiPar
MaRDI profile type: Publication
OpenAlex ID: W1982675769
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DOI: 10.1016/J.CMA.2006.10.049
description: scientific article; zbMATH DE number 5626608