Related references
Note: Only part of the references are listed.An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis
Xiaobing Shang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)
Kriging-based analytical technique for global sensitivity analysis of systems with multivariate output
Yushan Liu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2022)
A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems
Qiming Liu et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Variance-based adaptive sequential sampling for Polynomial Chaos Expansion
Lukas Novak et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Derivative-based integral equalities and inequality: A proxy-measure for sensitivity analysis
Matieyendou Lamboni
MATHEMATICS AND COMPUTERS IN SIMULATION (2021)
Modification of the Maximin and φp (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points
Miroslav Vorechovsky et al.
TECHNOMETRICS (2020)
Derivative-based generalized sensitivity indices and Sobol' indices
Matieyendou Lamboni
MATHEMATICS AND COMPUTERS IN SIMULATION (2020)
Hybrid metamodel of radial basis function and polynomial chaos expansions with orthogonal constraints for global sensitivity analysis
Zeping Wu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
Global sensitivity analysis for multivariate outputs using polynomial chaos-based surrogate models
Xiang Sun et al.
APPLIED MATHEMATICAL MODELLING (2020)
Global sensitivity analysis for multivariate output model and dynamic models
Kaichao Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Multivariate sensitivity analysis: Minimum variance unbiased estimators of the first-order and total-effect covariance matrices
Matieyendou Lamboni
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Generalized sensitivity indices based on vector projection for multivariate output
Liyang Xu et al.
APPLIED MATHEMATICAL MODELLING (2019)
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient
Kaifeng Yang et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Global sensitivity analysis using orthogonal augmented radial basis function
Zeping Wu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model
Fuchao Liu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
Ruwang Jiao et al.
INFORMATION SCIENCES (2019)
Multivariate global sensitivity analysis for dynamic models based on energy distance
Sinan Xiao et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2018)
Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression
Kai Cheng et al.
COMPUTERS & STRUCTURES (2018)
Global sensitivity analysis based on distance correlation for structural systems with multivariate output
Sinan Xiao et al.
ENGINEERING STRUCTURES (2018)
Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition
Sinan Xiao et al.
RISK ANALYSIS (2018)
Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation
Xi Chen et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)
Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis
Sinan Xiao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
Sequential Design of Experiment for Sparse Polynomial Chaos Expansions
Noura Fajraoui et al.
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION (2017)
Structural reliability sensitivity analysis based on classification of model output
Sinan Xiao et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2017)
An alternative adaptive differential evolutionary Algorithm assisted by Expected Improvement criterion and cut-HDMR expansion and its application in time-based sheet forming design
Enying Li et al.
ADVANCES IN ENGINEERING SOFTWARE (2016)
Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model
Shuang Li et al.
COMBUSTION AND FLAME (2016)
Unified estimate of Gaussian kernel width for surrogate models
Zeping Wu et al.
NEUROCOMPUTING (2016)
Reliability analysis of high-dimensional models using low-rank tensor approximations
Katerina Konakli et al.
PROBABILISTIC ENGINEERING MECHANICS (2016)
A new kind of sensitivity index for multivariate output
Luyi Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
NONADAPTIVE QUASI-OPTIMAL POINTS SELECTION FOR LEAST SQUARES LINEAR REGRESSION
Yeonjong Shin et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2016)
A Matlab toolbox for Global Sensitivity Analysis
Francesca Pianosi et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2015)
Mixed Efficient Global Optimization for Time-Dependent Reliability Analysis
Zhen Hu et al.
JOURNAL OF MECHANICAL DESIGN (2015)
Computing derivative-based global sensitivity measures using polynomial chaos expansions
B. Sudret et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)
Adaptive sequential sampling for surrogate model generation with artificial neural networks
John Eason et al.
COMPUTERS & CHEMICAL ENGINEERING (2014)
Structural design employing a sequential approximation optimization approach
Donghui Wang et al.
COMPUTERS & STRUCTURES (2014)
Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion
Oscar Garcia-Cabrejo et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)
Sensitivity indices for multivariate outputs
Fabrice Gamboa et al.
COMPTES RENDUS MATHEMATIQUE (2013)
Expected improvement in efficient global optimization through bootstrapped kriging
Jack P. C. Kleijnen et al.
JOURNAL OF GLOBAL OPTIMIZATION (2012)
Global sensitivity analysis using sparse grid interpolation and polynomial chaos
Gregery T. Buzzard
RELIABILITY ENGINEERING & SYSTEM SAFETY (2012)
Sensitivity analysis of steel plane frames with initial imperfections
Zdenek Kala
ENGINEERING STRUCTURES (2011)
Adaptive sparse polynomial chaos expansion based on least angle regression
Geraud Blatman et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2011)
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models
Matieyendou Lamboni et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2011)
Multivariate global sensitivity analysis for dynamic crop models
Matieyendou Lamboni et al.
FIELD CROPS RESEARCH (2009)
Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach
Geraud Blatman et al.
COMPTES RENDUS MECANIQUE (2008)
A methodology for performing global uncertainty and sensitivity analysis in systems biology
Simeone Marino et al.
JOURNAL OF THEORETICAL BIOLOGY (2008)
Global sensitivity analysis using polynomial chaos expansions
Bruno Sudret
RELIABILITY ENGINEERING & SYSTEM SAFETY (2008)
State dependent parameter metamodelling and sensitivity analysis
Marco Ratto et al.
COMPUTER PHYSICS COMMUNICATIONS (2007)
An effective screening design for sensitivity analysis of large models
Francesca Campolongo et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2007)
A new uncertainty importance measure
E. Borgonovo
RELIABILITY ENGINEERING & SYSTEM SAFETY (2007)
Efficient nearly orthogonal and space-filling Latin hypercubes
Thomas M. Cioppa et al.
TECHNOMETRICS (2007)
Uncertainty and global sensitivity analysis in the evaluation of investment projects
E. Borgonovo et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2006)
Sensitivity analysis when model outputs are functions
Katherine Campbell et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2006)
Application-driven sequential designs for simulation experiments: Kriging metamodelling
JPC Kleijnen et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2004)
Share Paper
