Pages that link to "Item:Q3148216"
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The following pages link to Design and analysis of computer experiments when the output is highly correlated over the input space (Q3148216):
Displaying 19 items.
- Gaussian process classification: Singly versus doubly stochastic models, and new computational schemes (Q637979) (← links)
- Regression with strongly correlated data (Q953868) (← links)
- Exact optimal designs for computer experiments via kriging metamodelling (Q974509) (← links)
- Asymptotically optimum experimental designs for prediction of deterministic functions given derivative information (Q1338383) (← links)
- Optimal design for correlated processes with input-dependent noise (Q1621392) (← links)
- Computer experiment designs for accurate prediction (Q1704014) (← links)
- Best linear unbiased prediction for multifidelity computer experiments (Q1721551) (← links)
- Analysis methods for computer experiments: how to assess and what counts? (Q1790313) (← links)
- Optimal designs for the identification of the order of a Fourier regression (Q1807126) (← links)
- Spatial sampling design and covariance-robust minimax prediction based on convex design ideas (Q2323557) (← links)
- Trigonometric regression and sampling plans for simulated experiments (Q2767819) (← links)
- Uniform Design for Experiments with Mixtures (Q3015886) (← links)
- Issues in the optimal design of computer simulation experiments (Q3077464) (← links)
- (Q4496031) (← links)
- Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process (Q5097839) (← links)
- Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model (Q5269857) (← links)
- A localized ensemble of approximate Gaussian processes for fast sequential emulation (Q6548820) (← links)
- Computing statistical moments via tensorization of polynomial chaos expansions (Q6554968) (← links)
- Active learning for efficiently training emulators of computationally expensive mathematical models (Q6629807) (← links)