References

• 2007Model-based design of experiments for parameter precision: State of the art821 cited
• 2001High Dimensional Model Representations497 cited
• 2012Simulation-based optimal Bayesian experimental design for nonlinear systems451 cited
• 2014Combustion kinetic model uncertainty quantification, propagation and minimization342 cited
• 2002Practical Approaches To Construct RS-HDMR Component Functions275 cited
• 2011The method of uncertainty quantification and minimization using polynomial chaos expansions230 cited
• 2008GUI–HDMR – A software tool for global sensitivity analysis of complex models210 cited
• 2006Random Sampling-High Dimensional Model Representation (RS-HDMR) and Orthogonality of Its Different Order Component Functions180 cited
• 2017Global sensitivity metrics from active subspaces158 cited
• 2015On the Statistical Calibration of Physical Models138 cited
• 2003Collaborative data processing in developing predictive models of complex reaction systems137 cited
• 2008A global sensitivity study of sulfur chemistry in a premixed methane flame model using HDMR124 cited
• 1983Sensitivity analysis and parameter estimation in dynamic modeling of chemical kinetics103 cited
• 2016Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model