Pages that link to "Item:Q929050"

The following pages link to A probabilistic construction of model validation (Q929050):

Displaying 32 items.

• Data partition methodology for validation of predictive models (Q316355) (← links)
• Stochastic modeling and identification of an uncertain computational dynamical model with random fields properties and model uncertainties (Q398139) (← links)
• Towards interval techniques for model validation (Q411421) (← links)
• Certified reduced basis model validation: a frequentistic uncertainty framework (Q423502) (← links)
• Probabilistic model validation for uncertain nonlinear systems (Q466275) (← links)
• Reduced chaos decomposition with random coefficients of vector-valued random variables and random fields (Q649440) (← links)
• Robust model updating with insufficient data (Q658297) (← links)
• Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data (Q658826) (← links)
• A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension (Q660306) (← links)
• Combining integral transform and a generalized probabilistic approach of uncertainties to quantify model-parameter and model uncertainties in computational structural dynamics: the stochastic GITT method (Q821848) (← links)
• Model validation and predictive capability for the thermal challenge problem (Q929026) (← links)
• A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria (Q929041) (← links)
• A top-down approach to calibration, validation, uncertainty quantification and predictive accuracy assessment (Q929053) (← links)
• Structural dynamics challenge problem: summary (Q929061) (← links)
• Identification of Bayesian posteriors for coefficients of chaos expansions (Q964246) (← links)
• Closed-loop model set validation under a stochastic framework (Q1614413) (← links)
• Polynomial chaos representation of databases on manifolds (Q1685427) (← links)
• Reduced Wiener chaos representation of random fields via basis adaptation and projection (Q1686576) (← links)
• Epistemic uncertainty-based model validation via interval propagation and parameter calibration (Q1986379) (← links)
• Measures of agreement between computation and experiment: validation metrics (Q2506716) (← links)
• On the construction and analysis of stochastic models: characterization and propagation of the errors associated with limited data (Q2506718) (← links)
• Mini-Minimax Uncertainty Quantification for Emulators (Q2945172) (← links)
• Model validation in the presence of uncertain experimental data (Q3379287) (← links)
• Parametrization of Random Vectors in Polynomial Chaos Expansions via Optimal Transportation (Q3452487) (← links)
• (Q4209833) (← links)
• Bayesian adaptation of chaos representations using variational inference and sampling on geodesics (Q4626133) (← links)
• Structural modelling and Bayesian inference for model validation and confidence extrapolation (Q5107702) (← links)
• Compressed Principal Component Analysis of Non-Gaussian Vectors (Q5139351) (← links)
• Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations (Q5269858) (← links)
• On Statistical Model Validation (Q5285324) (← links)
• (Q5485190) (← links)
• Stochastic modeling and statistical calibration with model error and scarce data (Q6084475) (← links)