SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Uncertainty quantification patterns for multiscale models
9 references·2 citing·46 second hop
Uncertainty quantification patterns for multiscale models (2021)Uncertainty quantification patterns for m…EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing (2020)EasyVVUQ: A Library for Verif…Building Confidence in Simulation: Applications of EasyVVUQ (2020)Building Confidence in Simula…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis (2018)Uncertainty Quantification of…Quantile based global sensitivity measures (2018)Quantile based global sensiti…Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Comparison of Non-Intrusive P…Monte Carlo evaluation of derivative-based global sensitivity measures (2008)Monte Carlo evaluation of der…A comparative study of uncertainty propagation methods for black-box-type problems (2008)A comparative study of uncert…Uncertainty Quantification for In Silico Chemistry (2026)Uncertainty Quantification fo…Challenges and opportunities in uncertainty quantification for healthcare and biological systems (2025)Challenges and opportunities …Structural reliability under combined random load sequences (1978)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual (2014)First order reliability method for time-variant problems using series expansions (2014)Exact and Invariant Second-Moment Code Format (1974)Stochastic Finite Elements: A Spectral Approach (1991)Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2010)Modeling, analysis, and optimization under uncertainties: a review (2021)Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation (2022)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Importance measures in global sensitivity analysis of nonlinear models (1996)An effective screening design for sensitivity analysis of large models (2007)Efficient sampling methods for global reliability sensitivity analysis (2012)Global sensitivity metrics from active subspaces (2017)Sensitivity analysis methods in the biomedical sciences (2020)Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Error and uncertainty in modeling and simulation (2002)Deaths: final data for 2010. (2013)Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis (2019)Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model (2020)Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling (2022)Estimation of small failure probabilities in high dimensions by subset simulation (2001)The Design and Analysis of Computer Experiments (2003)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)Decision-theoretic reliability sensitivityGlobal sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Global sensitivity analysis: A Bayesian learning based polynomial chaos approach (2020)Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures (2021)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)1,500 scientists lift the lid on reproducibility (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit (2021)When we can trust computers (and when we can't) (2021)Global sensitivity analysis using polynomial chaos expansions (2007)Verification and Validation in Scientific Computing (2010)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global Sensitivity Analysis. The Primer (2007)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)
this work references cited by second hop

References

  • 2013Uncertainty Quantification: Theory, Implementation, and Applications1,147 cited
  • 2009Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification348 cited
  • 2008A comparative study of uncertainty propagation methods for black-box-type problems331 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2008Monte Carlo evaluation of derivative-based global sensitivity measures294 cited
  • 2020EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing54 cited
  • 2020Building Confidence in Simulation: Applications of EasyVVUQ38 cited
  • 2018Quantile based global sensitivity measures30 cited
  • 2018Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis26 cited

Cited by

  • 2025Challenges and opportunities in uncertainty quantification for healthcare and biological systems16 cited
  • 2026Uncertainty Quantification for In Silico Chemistry13 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work