Pages that link to "Item:Q2938447"
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The following pages link to A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes (Q2938447):
Displaying 23 items.
- Machine learning in drug development: characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification (Q1987901) (← links)
- Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak (Q2080764) (← links)
- On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: application to turbulence and fire-spotting model in wildland fire simulators (Q2207410) (← links)
- Surrogate-based uncertainty and sensitivity analysis for bacterial invasion in multi-species biofilm modeling (Q2207429) (← links)
- Risk of estimators for Sobol' sensitivity indices based on metamodels (Q2219226) (← links)
- Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
- Sequential sensitivity analysis of expensive black-box simulators with metamodelling (Q2308244) (← links)
- Efficient evaluation of reliability-oriented sensitivity indices (Q2316182) (← links)
- Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (Q2316987) (← links)
- On ANOVA Decompositions of Kernels and Gaussian Random Field Paths (Q2957041) (← links)
- Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices (Q3176241) (← links)
- An efficient computational approach for prior sensitivity analysis and cross‐validation (Q3561483) (← links)
- Shapley effects for sensitivity analysis with dependent inputs: bootstrap and kriging-based algorithms (Q4967875) (← links)
- Objective Bayesian Analysis of a Cokriging Model for Hierarchical Multifidelity Codes (Q5139355) (← links)
- Computing first-order sensitivity indices with contribution to the sample mean plot (Q5220792) (← links)
- Efficient Computation of Sobol' Indices for Stochastic Models (Q5350218) (← links)
- Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel (Q5741198) (← links)
- Intermediate Variable Emulation: Using Internal Processes in Simulators to Build More Informative Emulators (Q5862905) (← links)
- Collaborative and adaptive Bayesian optimization for bounding variances and probabilities under hybrid uncertainties (Q6153861) (← links)
- Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach (Q6553960) (← links)
- Simulation study to identify the characteristics of Markov chain properties (Q6600080) (← links)
- Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model (Q6631912) (← links)
- Sampling-based adaptive Bayesian quadrature for probabilistic model updating (Q6663268) (← links)
