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Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization
16 references·4 citing·45 second hop
Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization (2014)Bayesian Sensitivity Analysis and Uncerta…The NASA Langley Multidisciplinary Uncertainty Quantification Challenge (2014)The NASA Langley Multidiscipl…Separating the contributions of variability and parameter uncertainty in probability distributions (2012)Separating the contributions …Quantitative model validation techniques: New insights (2012)Quantitative model validation…Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data (2011)Likelihood-based representati…A survey on approaches for reliability-based optimization (2010)A survey on approaches for re…A probabilistic approach for representation of interval uncertainty (2010)A probabilistic approach for …Model validation and predictive capability for the thermal challenge problem (2007)Model validation and predicti…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Computational methods for model reliability assessment (2007)Computational methods for mod…Validation and error estimation of computational models (2006)Validation and error estimati…Sensitivity analysis using probability bounding (2006)Sensitivity analysis using pr…Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data (2005)Possibility-Based Design Opti…Uncertainty quantification using evidence theory in multidisciplinary design optimization (2004)Uncertainty quantification us…Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design (1999)Towards a Better Understandin…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Global Sensitivity Analysis (1995)Global Sensitivity AnalysisMixed uncertainty quantification for terminal flight state of Mars atmospheric entry (2022)Mixed uncertainty quantificat…Reliability-based trajectory optimization using nonintrusive polynomial chaos for Mars entry mission (2018)Reliability-based trajectory …Efficient global sensitivity analysis with correlated variables (2018)Efficient global sensitivity …Multidisciplinary Optimization under Uncertainty Using Bayesian Network (2016)Multidisciplinary Optimizatio…Principles of Operations Research. 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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 1995Global Sensitivity Analysis931 cited
  • 2010A survey on approaches for reliability-based optimization401 cited
  • 1999Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design371 cited
  • 2004Uncertainty quantification using evidence theory in multidisciplinary design optimization324 cited
  • 2007Model validation and predictive capability for the thermal challenge problem322 cited
  • 2006Validation and error estimation of computational models162 cited
  • 2011Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data156 cited
  • 2012Quantitative model validation techniques: New insights137 cited
  • 2006Sensitivity analysis using probability bounding136 cited
  • 2007Computational methods for model reliability assessment136 cited
  • 2012Separating the contributions of variability and parameter uncertainty in probability distributions120 cited
  • 2010A probabilistic approach for representation of interval uncertainty103 cited
  • 2005Possibility-Based Design Optimization Method for Design Problems With Both Statistical and Fuzzy Input Data

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101 cited
  • 2014The NASA Langley Multidisciplinary Uncertainty Quantification Challenge77 cited
  • Cited by

    • 2018Efficient global sensitivity analysis with correlated variables16 cited
    • 2018Reliability-based trajectory optimization using nonintrusive polynomial chaos for Mars entry mission14 cited
    • 2016Multidisciplinary Optimization under Uncertainty Using Bayesian Network11 cited
    • 2022Mixed uncertainty quantification for terminal flight state of Mars atmospheric entry8 cited