Pages that link to "Item:Q4819026"

The following pages link to Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (Q4819026):

Displaying 31 items.

• Computing Shapley Effects for Sensitivity Analysis (Q5158926) (← links)
• Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration (Q5163220) (← links)
• Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis (Q5208040) (← links)
• Global sensitivity analysis with dependence measures (Q5220789) (← links)
• A randomized orthogonal array-based procedure for the estimation of first- and second-order Sobol' indices (Q5220793) (← links)
• ANOVA decomposition of conditional Gaussian processes for sensitivity analysis with dependent inputs (Q5220854) (← links)
• Slycat Ensemble Analysis of Electrical Circuit Simulations (Q5245956) (← links)
• Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators (Q5269870) (← links)
• Structural dynamic analysis using Gaussian process emulators (Q5405967) (← links)
• Stochastic sensitivity analysis using preconditioning approach (Q5405982) (← links)
• COMPARTMENTAL MODELLING OF SOCIAL DYNAMICS WITH GENERALISED PEER INCIDENCE (Q5417148) (← links)
• Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs (Q5741195) (← 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)
• Saving storage in climate ensembles: a model-based stochastic approach (Q6050905) (← links)
• Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks (Q6109143) (← links)
• Gaussian Process Regression on Nested Spaces (Q6109172) (← links)
• Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes (Q6139145) (← links)
• Bayesian spatiotemporal modeling for inverse problems (Q6172144) (← links)
• \(A\)-optimal designs for non-parametric symmetrical global sensitivity analysis (Q6175800) (← links)
• Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) (Q6187668) (← links)
• A Bayesian computer model analysis of robust Bayesian analyses (Q6203357) (← links)
• Application of the extended Fourier amplitude sensitivity testing (FAST) method to inflated, axial stretched, and residually stressed cylinders (Q6542753) (← links)
• Total effects with constrained features (Q6547752) (← links)
• A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion (Q6553787) (← links)
• Sensitivity Prewarping for Local Surrogate Modeling (Q6631098) (← links)
• Active Learning for Deep Gaussian Process Surrogates (Q6631105) (← links)
• Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments (Q6631127) (← links)
• Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition (Q6631175) (← links)
• Sequential Optimization in Locally Important Dimensions (Q6631884) (← links)
• Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2 (Q6651353) (← links)