Pages that link to "Item:Q2767526"
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The following pages link to Bayesian calibration of computer models. (With discussion) (Q2767526):
Displaying 50 items.
- Model identification for hydrological forecasting under uncertainty (Q2505912) (← links)
- Measures of agreement between computation and experiment: validation metrics (Q2506716) (← links)
- Uncertainty quantification for chaotic computational fluid dynamics (Q2506729) (← links)
- Calibration and validation of coarse-grained models of atomic systems: application to semiconductor manufacturing (Q2512486) (← links)
- Comparison of designs for computer experiments (Q2581665) (← links)
- High-dimensional black-box optimization under uncertainty (Q2669612) (← links)
- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (Q2674073) (← links)
- Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models (Q2676029) (← links)
- A collaborative model calibration framework under uncertainty considering parameter distribution (Q2678557) (← links)
- Toward selecting optimal predictive multiscale models (Q2679323) (← links)
- Bayesian updating with two-step parallel Bayesian optimization and quadrature (Q2679499) (← links)
- Data-driven learning of differential equations: combining data and model uncertainty (Q2686515) (← links)
- Parameter estimation with maximal updated densities (Q2693387) (← links)
- A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
- Non-parametric Sampling Approximation via Voronoi Tessellations (Q2809645) (← links)
- A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties (Q2846453) (← links)
- Dynamic spatial Bayesian models for radioactivity deposition (Q2851986) (← links)
- Efficient estimation of sensitivity indices (Q2863036) (← links)
- Inverse solution for parameter estimation of computer simulation by an empirical Bayesian code tuning method (Q2872700) (← links)
- Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models (Q2875310) (← links)
- Advances in the Sequential Design of Computer Experiments Based on Active Learning (Q2892647) (← links)
- Gaussian process emulators for the stochastic finite element method (Q2894757) (← links)
- Robustness, fidelity and prediction-looseness of models (Q2901835) (← links)
- A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography (Q2911865) (← links)
- Uncertainty Relationship Analysis for Multi-Parametric Programming in Optimization (Q2942503) (← links)
- A Partially Linear Model Using a Gaussian Process Prior (Q2943791) (← links)
- Bayesian Calibration of the Community Land Model Using Surrogates (Q2945145) (← links)
- A Physics-Based Emulator for the Simulation of Geophysical Mass Flows (Q2945167) (← links)
- A new network approach to Bayesian inference in partial differential equations (Q2952823) (← links)
- Nonhierarchical multi‐model fusion using spatial random processes (Q2952898) (← links)
- Efficient heterogeneous sampling for stochastic simulation with an illustration in health care applications (Q2965600) (← links)
- Bayesian Calibration of Microsimulation Models (Q3069871) (← links)
- Advanced Space Vehicle Design Taking into Account Multidisciplinary Couplings and Mixed Epistemic/Aleatory Uncertainties (Q3133904) (← links)
- Representing Model Inadequacy: A Stochastic Operator Approach (Q3176229) (← links)
- Experimental Design for Nonparametric Correction of Misspecified Dynamical Models (Q3176250) (← links)
- Comparison of Statistical and Deterministic Frameworks of Uncertainty Quantification (Q3179311) (← links)
- A Framework for Multi-Model Ensembling (Q3179312) (← links)
- Emulation of Multivariate Simulators Using Thin-Plate Splines with Application to Atmospheric Dispersion (Q3179332) (← links)
- Forcing Function Diagnostics for Nonlinear Dynamics (Q3183242) (← links)
- Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments (Q3391162) (← links)
- A Function Emulation Approach for Doubly Intractable Distributions (Q3391448) (← links)
- Estimating Percentiles of Uncertain Computer Code Outputs (Q3435791) (← links)
- Bayesian Updating of Atmospheric Dispersion After a Nuclear Accident (Q3435836) (← links)
- Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements (Q3460277) (← links)
- Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources (Q3564581) (← links)
- Bayesian hierarchical uncertainty quantification by structural equation modeling (Q3649905) (← links)
- Complexity science of multiscale materials via stochastic computations (Q3649917) (← links)
- Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification (Q4553787) (← links)
- Uncertainty Quantification Using the Nearest Neighbor Gaussian Process (Q4556968) (← links)
- How Deep Are Deep Gaussian Processes? (Q4558207) (← links)
