Pages that link to "Item:Q4652334"
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The following pages link to Probabilistic Formulations for Transferring Inferences from Mathematical Models to Physical Systems (Q4652334):
Displaying 16 items.
- A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration (Q96361) (← links)
- Efficient calibration for imperfect computer models (Q892237) (← links)
- Updating under unknown unknowns: an extension of Bayes' rule (Q962882) (← links)
- Reified Bayesian modelling and inference for physical systems (Q1007510) (← links)
- Construction of nested space-filling designs (Q1043757) (← links)
- Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements (Q2006885) (← links)
- A dynamic bi-orthogonal field equation approach to efficient Bayesian inversion (Q2011888) (← links)
- Bayes linear analysis for ordinary differential equations (Q2242017) (← links)
- Verifying reification with application to a rainfall-runoff computer simulator (Q2261041) (← links)
- Computer model validation with functional output (Q2466674) (← links)
- Second-Order Exchangeability Analysis for Multimodel Ensembles (Q2861799) (← links)
- Nonhierarchical multi‐model fusion using spatial random processes (Q2952898) (← links)
- Adjustments to Computer Models via Projected Kernel Calibration (Q5237166) (← links)
- A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models (Q5244949) (← links)
- A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties (Q5741200) (← links)
- Bayesian model -- data synthesis with an application to global glacio-isostatic adjustment (Q6626029) (← links)
