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Insights of Global Sensitivity Analysis in Biological Models with Dependent Parameters
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Insights of Global Sensitivity Analysis in Biological Models with Dependent Parameters (2018)Insights of Global Sensitivity Analysis i…Generalized Sobol sensitivity indices for dependent variables: numerical methods (2014)Generalized Sobol sensitivity…Indices de Sobol généralisés par variables dépendantes (2013)Indices de Sobol généralisés …General formulation of HDMR component functions with independent and correlated variables (2011)General formulation of HDMR c…Estimation of global sensitivity indices for models with dependent variables (2011)Estimation of global sensitiv…An efficient computational method for global sensitivity analysis and its application to tree growth modelling (2011)An efficient computational me…Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models (2010)Multivariate sensitivity anal…Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Global Sensitivity Analysis f…Copula Theory and Its Applications (2010)Copula Theory and Its Applica…Global Sensitivity Analysis (2008)Global Sensitivity AnalysisThe estimation of copulas : theory and practice (2007)The estimation of copulas : t…An Introduction to Copulas (1999)An Introduction to CopulasGlobal Sensitivity Analysis (1995)Global Sensitivity AnalysisA Semiparametric Estimation Procedure of Dependence Parameters in Multivariate Families of Distributions (1995)Is the correlation in international equity returns constant: 1960–1990? (1995)On Default Correlation (2000)Estimating copula densities through wavelets (2008)Long memory dynamics for multivariate dependence under heavy tails (2014)Probit transformation for nonparametric kernel estimation of the copula density (2017)Principles of Operations Research. (1970)Dynamic Version of the Economic Lot Size Model (2004)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis: A review of recent advances (2015)The generalization of Latin hypercube sampling (2015)Importance measures in global sensitivity analysis of nonlinear models (1996)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Ratings and Rankings: Voodoo or Science? (2012)Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Weights and importance in composite indicators: Closing the gap (2017)General foundations of high‐dimensional model representations (1999)High Dimensional Model Representations (2001)A Common Rationale for Global Sensitivity Measures and Their Estimation (2016)Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Empirical Model Building and Response Surfaces (1988)Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion (2014)Sensitivity analysis for multidimensional and functional outputs (2014)Human-oriented design of collaborative robots (2017)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A new uncertainty importance measure (2006)Efficient dimension reduction and surrogate-based sensitivity analysis for expensive models with high-dimensional outputs (2019)Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor (2021)A comparison between Sobol’s indices and Shapley’s effect for global sensitivity analysis of systems with independent input variables (2023)Making best use of model evaluations to compute sensitivity indices (2002)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2014)The Complexities of Agent-Based Modeling Output Analysis (2015)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE* (2006)Introductory Econometrics for Finance (2008)Selecting and estimating regular vine copulae and application to financial returns (2012)Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine (2013)A review of quantification methodologies for multi-hazard interrelationships (2019)Rickety numbers: Volatility of university rankings and policy implications (2010)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Guidance on Communication of Uncertainty in Scientific Assessments (2019)
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References

  • 1999An Introduction to Copulas7,777 cited
  • 1995Global Sensitivity Analysis931 cited
  • 2010Copula Theory and Its Applications683 cited
  • 2008Global Sensitivity Analysis415 cited
  • 2011Estimation of global sensitivity indices for models with dependent variables347 cited
  • 2010Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models243 cited
  • 2010Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs242 cited
  • 2011General formulation of HDMR component functions with independent and correlated variables129 cited
  • 2007The estimation of copulas : theory and practice118 cited
  • 2014Generalized Sobol sensitivity indices for dependent variables: numerical methods76 cited
  • 2011An efficient computational method for global sensitivity analysis and its application to tree growth modelling59 cited
  • 2013Indices de Sobol généralisés par variables dépendantes6 cited

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