Polynomial chaos expansion for sensitivity analysis of model output with dependent inputs

Random Sampling from Joint Probability Distributions Defined in a Bayesian Framework

(2019) Thierry A. Mara et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Data-driven polynomial chaos expansion for machine learning regression

(2019) Emiliano Torre et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Addressing factors fixing setting from given data: A comparison of different methods

(2017) Thierry A. Mara et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Extending Morris method for qualitative global sensitivity analysis of models with dependent inputs

(2017) Qiao Ge et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Relationship between sensitivity indices defined by variance- and covariance-based methods

(2017) Genyuan Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Sobol' indices for problems defined in non-rectangular domains

(2017) S. Kucherenko et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

VARIANCE-BASED SENSITIVITY INDICES OF COMPUTER MODELS WITH DEPENDENT INPUTS: THE FOURIER AMPLITUDE SENSITIVITY TEST

(2017) S. Tarantola et al.   International Journal for Uncertainty Quantification

On Shapley Value for Measuring Importance of Dependent Inputs

(2017) Art B. Owen et al.   SIAM-ASA Journal on Uncertainty Quantification

A comparison of two Bayesian approaches for uncertainty quantification

(2016) Thierry A. Mara et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Shapley Effects for Global Sensitivity Analysis: Theory and Computation

(2016) Eunhye Song et al.   SIAM-ASA Journal on Uncertainty Quantification

Inversion and uncertainty of highly parameterized models in a Bayesian framework by sampling the maximal conditional posterior distribution of parameters

(2015) Thierry A. Mara et al.   ADVANCES IN WATER RESOURCES

Probabilistic assessment of seawater intrusion under multiple sources of uncertainty

(2015) M. Riva et al.   ADVANCES IN WATER RESOURCES

Non-parametric methods for global sensitivity analysis of model output with dependent inputs

(2015) Thierry A. Mara et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations

(2015) Mohammad Mahdi Rajabi et al.   JOURNAL OF HYDROLOGY

Statistical inference for Sobol pick-freeze Monte Carlo method

(2015) F. Gamboa et al.   STATISTICS

A Bayesian approach to improved calibration and prediction of groundwater models with structural error

(2015) Tianfang Xu et al.   WATER RESOURCES RESEARCH

Statistical inference for Sobol pick-freeze Monte Carlo method

(2015) F. Gamboa et al.   STATISTICS

Moment independent sensitivity analysis with correlations

(2014) Changcong Zhou et al.   APPLIED MATHEMATICAL MODELLING

Global sensitivity analysis with dependence measures

(2014) Sebastien Da Veiga   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies

(2014) Mark Strong et al.   SIAM-ASA Journal on Uncertainty Quantification

Polynomial Chaos expansion for subsurface flows with uncertain soil parameters

(2013) P. Sochala et al.   ADVANCES IN WATER RESOURCES

Metamodelling with independent and dependent inputs

(2013) M. Munoz Zuniga et al.   COMPUTER PHYSICS COMMUNICATIONS

Invariant Probabilistic Sensitivity Analysis

(2013) Manel Baucells et al.   MANAGEMENT SCIENCE

Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis

(2012) Gaelle Chastaing et al.   Electronic Journal of Statistics

Estimation of global sensitivity indices for models with dependent variables

(2011) S. Kucherenko et al.   COMPUTER PHYSICS COMMUNICATIONS

Variance-based sensitivity indices for models with dependent inputs

(2011) Thierry A. Mara et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Use of global sensitivity analysis and polynomial chaos expansion for interpretation of nonreactive transport experiments in laboratory-scale porous media

(2011) Noura Fajraoui et al.   WATER RESOURCES RESEARCH

Kernel density estimation via diffusion

(2010) Z. I. Botev et al.   ANNALS OF STATISTICS

Variance-Based Global Sensitivity Analysis via Sparse-Grid Interpolation and Cubature

(2010) Gregery T. Buzzard et al.   Communications in Computational Physics

Adaptive sparse polynomial chaos expansion based on least angle regression

(2010) Géraud Blatman et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs

(2010) Genyuan Li et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors

(2010) Benjamin Renard et al.   WATER RESOURCES RESEARCH

Extended Polynomial Dimensional Decomposition for Arbitrary Probability Distributions

(2009) Sharif Rahman   JOURNAL OF ENGINEERING MECHANICS

Do Rosenblatt and Nataf isoprobabilistic transformations really differ?

(2009) Régis Lebrun et al.   PROBABILISTIC ENGINEERING MECHANICS

Comparison of some efficient methods to evaluate the main effect of computer model factors

(2008) Thierry Alex Mara et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Global sensitivity analysis using polynomial chaos expansions

(2007) Bruno Sudret   RELIABILITY ENGINEERING & SYSTEM SAFETY

Uncertainty and sensitivity analysis for models with correlated parameters

(2007) Chonggang Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY