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Predictive Capability Maturity Quantification Using Bayesian Network
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Predictive Capability Maturity Quantification Using Bayesian Network (2020)Predictive Capability Maturity Quantifica…Risk informed validation framework for external flooding scenario (2019)Risk informed validation fram…Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification (2019)Demonstration of the relation…Risk-Informed Safety Margins Characterization (RISMC) Pathway Technical Program Plan (2017)Risk-Informed Safety Margins …Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Thinking, Fast and Slow (2011)Thinking, Fast and SlowVerification and Validation in Scientific Computing (2010)Verification and Validation i…Guide for Verification and Validation in Computational Solid Mechanics (2009)Guide for Verification and Va…Predictive Capability Maturity Model for computational modeling and simulation. (2007)Predictive Capability Maturit…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A Proposed Model for Simulation Validation Process Maturity (2005)A Proposed Model for Simulati…Validation, Uncertainty, and Quantitative Reliability at Confidence (2003)Validation, Uncertainty, and …On the proper formulation of safety goals and assessment of safety margins for rare and high-consequence hazards (1996)On the proper formulation of …On The Quantitative Definition of Risk (1981)On The Quantitative Definitio…Economic Control of Quality of Manufactured Product. (1932)Out of the Crisis (1982)The Psychology of Survey Response (2000)Scientific computer simulation review (2015)Risk Assessment Review Group Report to the U. S. Nuclear Regulatory Commission (1979)Application of the risk oriented accident analysis methodology (ROAAM) to severe accident management in the AP600 advanced light water reactor (1998)Safety Margins and Design Margins: A Differentiation between Interconnected Concepts (2017)Advanced methods of risk assessment and management: An overview (2020)Simulation Modeling and Analysis. (1983)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Verification and Validation in Computational Science and Engineering (1998)Toward a more rigorous application of margins and uncertainties within the nuclear weapons life cycle : a Sandia perspective. (2007)Incorporating assumption deviation risk in quantitative risk assessments: A semi-quantitative approach (2017)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Bayesian calibration of computer models based on Takagi–Sugeno fuzzy models (2021)Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data (2021)Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data (2024)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Best Practices for Scientific Computing (2014)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Risk assessment and risk management: Review of recent advances on their foundation (2015)Model validation and predictive capability for the thermal challenge problem (2007)A Bayesian approach for quantification of model uncertainty (2010)Toward a Better Understanding of Model Validation Metrics (2011)Dual-Process Theories of Higher Cognition (2013)Managerial cognitive capabilities and the microfoundations of dynamic capabilities (2014)The preregistration revolution (2018)A unified framework for stochastic optimization (2018)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)A state-of-the-art review on uncertainty analysis of rotor systems (2022)
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References

  • 2011Thinking, Fast and Slow14,316 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1981On The Quantitative Definition of Risk3,099 cited
  • 2010Verification and Validation in Scientific Computing1,579 cited
  • 2013Uncertainty Quantification: Theory, Implementation, and Applications1,147 cited
  • 2009Guide for Verification and Validation in Computational Solid Mechanics390 cited
  • 2007Predictive Capability Maturity Model for computational modeling and simulation.127 cited
  • 1996On the proper formulation of safety goals and assessment of safety margins for rare and high-consequence hazards48 cited
  • 2005A Proposed Model for Simulation Validation Process Maturity46 cited
  • 2019Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification44 cited
  • 2017Risk-Informed Safety Margins Characterization (RISMC) Pathway Technical Program Plan27 cited
  • 2019Risk informed validation framework for external flooding scenario18 cited
  • 2003Validation, Uncertainty, and Quantitative Reliability at Confidence11 cited

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