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Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model
16 references·2 citing·20 second hop
Applicability of the polynomial chaos expansion method for personalization of a cardiovascular pulse wave propagation model (2014)Applicability of the polynomial chaos exp…Generalized hoeffding-sobol decomposition for dependent variables -application to sensitivity analysis (2015)Generalized hoeffding-sobol d…Variance-based sensitivity indices for models with dependent inputs (2011)Variance-based sensitivity in…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations (2010)A Stochastic Collocation Meth…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Polynomial chaos expansion for sensitivity analysis (2008)Polynomial chaos expansion fo…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Efficient Collocational Approach for Parametric Uncertainty Analysis (2007)Efficient Collocational Appro…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior (2022)Surrogate‐based Bayesian cali…Sensitivity analysis based on non-intrusive regression-based polynomial chaos expansion for surgical mesh modelling (2017)Sensitivity analysis based on…Stochastic Finite Elements: A Spectral Approach (1991)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Statistics for Experimenters (1979)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)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)How to avoid a perfunctory sensitivity analysis (2010)A new uncertainty importance measure (2006)Tools for Composite Indicators Building (2005)
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  • 2010

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A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations
146 cited
  • 2015Generalized hoeffding-sobol decomposition for dependent variables -application to sensitivity analysis140 cited
  • Cited by

    • 2017Sensitivity analysis based on non-intrusive regression-based polynomial chaos expansion for surgical mesh modelling24 cited
    • 2022Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior12 cited