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ArticleModel discrepancy calibration across experimental settings

Kathryn A. Maupin2020

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Articlebronze2020

Model discrepancy calibration across experimental settings

Kathryn A. Maupin · Laura Painton Swiler

41 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Control Systems and Identification Simulation Techniques and Applications

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References

1989Design and Analysis of Computer Experiments 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.2007A Framework for Validation of Computer Models 2002Error and uncertainty in modeling and simulation 2004Combining Field Data and Computer Simulations for Calibration and Prediction 2012Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability 2011Toward a Better Understanding of Model Validation Metrics 2006Validation and error estimation of computational models

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2022A collaborative model calibration framework under uncertainty considering parameter distribution 2023BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY

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Details

Year2020

Typearticle

Published2020-01-20

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations41

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2020.106818

openalex_workW3000240163

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