Pages that link to "Item:Q4819026"
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The following pages link to Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (Q4819026):
Displaying 50 items.
- Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation (Q2154181) (← links)
- Global sensitivity analysis in epidemiological modeling (Q2171531) (← links)
- Sensitivity analysis methods in the biomedical sciences (Q2173061) (← links)
- Differences between models of partial thickness and subendocardial ischaemia in terms of sensitivity analyses of ST-segment epicardial potential distributions (Q2173879) (← 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)
- Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol' indices (Q2208405) (← links)
- Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling (Q2228848) (← links)
- Global sensitivity analysis via a statistical tolerance approach (Q2239933) (← links)
- Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
- Bayesian sparse polynomial chaos expansion for global sensitivity analysis (Q2309099) (← links)
- Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (Q2316987) (← links)
- Geometric sensitivity measures for Bayesian nonparametric density estimation models (Q2316997) (← links)
- A unified approach to environmental systems modeling (Q2319553) (← links)
- Global sensitivity analysis based on high-dimensional sparse surrogate construction (Q2363869) (← links)
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach (Q2375069) (← links)
- Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation (Q2375149) (← links)
- Derivative based global sensitivity measures and their link with global sensitivity indices (Q2390399) (← links)
- A behavioural justification for using sensitivity analysis in imprecise multinomial processes (Q2414018) (← links)
- Dynamic Bayesian sensitivity analysis of a myocardial metabolic model (Q2479978) (← links)
- Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs (Q2498768) (← links)
- Sensitivity analysis of some applied probability models (Q2662914) (← links)
- Macsum: a new interval-valued linear operator (Q2671751) (← links)
- Optimal Control and Sensitivity Analysis for Two Risk Models (Q2816670) (← links)
- Robust sensitivity analysis for stochastic systems (Q2833103) (← links)
- Sensitivity analysis of nonlinear models to parameter perturbations for small size ensembles of model outputs (Q2843676) (← links)
- Efficient estimation of sensitivity indices (Q2863036) (← links)
- A Partially Linear Model Using a Gaussian Process Prior (Q2943791) (← links)
- Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices (Q2945143) (← links)
- On ANOVA Decompositions of Kernels and Gaussian Random Field Paths (Q2957041) (← links)
- Assessment of uncertainty in computer experiments from Universal to Bayesian Kriging (Q3077456) (← links)
- Shapley Effects for Global Sensitivity Analysis: Theory and Computation (Q3179320) (← links)
- Sensitivity analysis and uncertainty quantification for environmental models (Q3451728) (← links)
- Sensitivity analysis for bayesian models in stochastic scheduling (Q3982009) (← links)
- On one method of investigation of sensitivity to random fields perturbations in dynamic-probabilistic modelling (Q4461844) (← links)
- Sensitivity analysis for variance parameters in Bayesian simplex mixed models for proportional data (Q4593845) (← links)
- Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation (Q4611533) (← links)
- Global Sensitivity Analysis for Statistical Model Parameters (Q4611539) (← links)
- Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments (Q4636378) (← links)
- Coupling Computer Models through Linking Their Statistical Emulators (Q4689169) (← links)
- Applying Bayesian ideas in simulation (Q4787124) (← links)
- Sensitivity analysis approaches to high-dimensional screening problems at low sample size (Q4960668) (← links)
- Diagnostics-Driven Nonstationary Emulators Using Kernel Mixtures (Q4960981) (← links)
- Model guided adaptive design and analysis in computer experiment (Q4969853) (← links)
- Bayesian calibration of hydrocarbon reservoir models using an approximate reservoir simulator in the prior specification (Q4970574) (← links)
- Gaussian Process Landmarking on Manifolds (Q5025781) (← links)
- Varying Coefficient Models and Design Choice for Bayes Linear Emulation of Complex Computer Models with Limited Model Evaluations (Q5075228) (← links)
- Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation (Q5084523) (← links)
- Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods (Q5090110) (← links)
- Emulation and interpretation of high-dimensional climate model outputs (Q5130318) (← links)
