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Multi-fidelity response surfaces for uncertainty quantification in beams using coarse and fine finite element discretizations
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Multi-fidelity response surfaces for uncertainty quantification in beams using coarse and fine finite element discretizations (2020)Multi-fidelity response surfaces for unce…Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Survey of Multifidelity Metho…Multifidelity Monte Carlo estimation for large-scale uncertainty propagation (2018)Multifidelity Monte Carlo est…Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014)Towards efficient uncertainty…The role of acute cortisol and DHEAS in predicting acute and chronic PTSD symptoms (2014)The role of acute cortisol an…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Use of Kriging Models to Approximate Deterministic Computer Models (2005)Use of Kriging Models to Appr…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Statistics for Experimenters (1979)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)Stochastic Finite Elements: A Spectral Approach (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts (2018)The effects of clinically‐derived parametric data uncertainty in patient‐specific coronary simulations with deformable walls (2020)A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations (2022)The development of a Clinician-Administered PTSD Scale (1995)Psychometric properties of nine scoring rules for the Clinician-Administered Posttraumatic Stress Disorder Scale. (1999)Clinician-administered PTSD scale: A review of the first ten years of research (2001)Circulating Levels of Hormones, Lipids, and Immune Mediators in Post-Traumatic Stress Disorder – A 3-Month Follow-Up Study (2015)Individual variability in behavior and functional networks predicts vulnerability using an animal model of PTSD (2019)Circulating endocannabinoids and genetic polymorphisms as predictors of posttraumatic stress disorder symptom severity: heterogeneity in a community-based cohort (2022)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)Imprecise probabilities in engineering analyses (2013)Variable importance analysis: A comprehensive review (2015)STATISTICS FOR SPATIAL DATA (1992)Calculations of Sobol indices for the Gaussian process metamodel (2008)Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)The origins of kriging (1990)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Multilevel Monte Carlo Path Simulation (2008)Rapid uncertainty quantification for structural full-field dynamic responses with extremely high dimension (2025)Design and Analysis of Computer Experiments (1989)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Modeling, analysis, and optimization under uncertainties: a review (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)
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References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2018Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization1,072 cited
  • 2005Use of Kriging Models to Approximate Deterministic Computer Models840 cited
  • 2014Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme99 cited
  • 2014The role of acute cortisol and DHEAS in predicting acute and chronic PTSD symptoms93 cited
  • 2018Multifidelity Monte Carlo estimation for large-scale uncertainty propagation39 cited

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