Pages that link to "Item:Q929026"
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The following pages link to Model validation and predictive capability for the thermal challenge problem (Q929026):
Displaying 31 items.
- Data partition methodology for validation of predictive models (Q316355) (← links)
- A comparative study of probability estimation methods for reliability analysis (Q381684) (← links)
- Towards interval techniques for model validation (Q411421) (← links)
- A better understanding of model updating strategies in validating engineering models (Q649306) (← links)
- A hierarchical framework for statistical model calibration in engineering product development (Q653679) (← links)
- A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (Q660189) (← links)
- A sensitivity analysis method to evaluate the impacts of random and interval variables on the probability box (Q823474) (← links)
- Thermal problem solution using a surrogate model clustering technique (Q929024) (← links)
- Multivariate approach to the thermal challenge problem (Q929029) (← links)
- Computational modeling issues and methods for the ``regulatory problem'' in engineering - solution to the thermal problem (Q929036) (← links)
- Thermal challenge problem: Summary (Q929038) (← links)
- A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria (Q929041) (← links)
- A probabilistic construction of model validation (Q929050) (← links)
- Uncertainty aggregation and reduction in structure-material performance prediction (Q1753925) (← links)
- Epistemic uncertainty-based model validation via interval propagation and parameter calibration (Q1986379) (← links)
- A sequential calibration and validation framework for model uncertainty quantification and reduction (Q2021198) (← links)
- Novel algorithm for reconstruction of a distribution by fitting its first-four statistical moments (Q2310673) (← links)
- The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets (Q2310925) (← links)
- Systematic validation of non-equilibrium thermochemical models using Bayesian inference (Q2374621) (← links)
- Virtual model validation of complex multiscale systems: applications to nonlinear elastostatics (Q2450416) (← links)
- Measures of agreement between computation and experiment: validation metrics (Q2506716) (← links)
- Environmental stress level to model tumor cell growth and survival (Q2686705) (← links)
- Validation metric based on relative error (Q2855791) (← links)
- Nonhierarchical multi‐model fusion using spatial random processes (Q2952898) (← links)
- A multiple response model validation metric based on distance of probability distribution (Q3462777) (← links)
- Complexity science of multiscale materials via stochastic computations (Q3649917) (← links)
- Structural modelling and Bayesian inference for model validation and confidence extrapolation (Q5107702) (← links)
- An investigation of Bayesian inference approach to model validation with non-normal data (Q5218919) (← links)
- A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow (Q6050704) (← links)
- Optimal design of validation experiments for the prediction of quantities of interest (Q6171231) (← links)
- A multi-region active learning kriging method for response distribution construction of highly nonlinear problems (Q6185197) (← links)
