Pages that link to "Item:Q5935068"
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The following pages link to On the condition number of covariance matrices in kriging, estimation, and simulation of random fields (Q5935068):
Displaying 25 items.
- Polynomial genetic programming for response surface modeling. II: Adaptive approximate models with probabilistic optimization problems (Q438483) (← links)
- On the condition number anomaly of Gaussian correlation matrices (Q472459) (← links)
- Fixed-domain asymptotics of the maximum likelihood estimator and the Gaussian process approach for deterministic models (Q545143) (← links)
- Asymptotic behavior of the likelihood function of covariance matrices of spatial Gaussian processes (Q624764) (← links)
- Cases for the nugget in modeling computer experiments (Q693296) (← links)
- Construction and efficient implementation of adaptive objective-based designs of experiments (Q748105) (← links)
- An efficient methodology for modeling complex computer codes with Gaussian processes (Q1023832) (← links)
- Application of FFT-based algorithms for large-scale universal kriging problems (Q1035766) (← links)
- On the variational data assimilation problem solving and sensitivity analysis (Q1685435) (← links)
- The effect of the nugget on Gaussian process emulators of computer models (Q1927203) (← links)
- Composite Gaussian process models for emulating expensive functions (Q1940022) (← links)
- Model-data-driven constitutive responses: application to a multiscale computational framework (Q2234818) (← links)
- Mathematical Challenges in Measuring Variability Patterns for Precipitation Analysis (Q3296275) (← links)
- Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems (Q4636401) (← links)
- Including a Nugget Effect in Lifted Brownian Covariance Models (Q5139354) (← links)
- Parallel Bayesian Global Optimization of Expensive Functions (Q5144800) (← links)
- Conditioning of coefficient matrices of ordinary kriging (Q5935049) (← links)
- A non-intrusive solution to the ill-conditioning problem of the gradient-enhanced Gaussian covariance matrix for Gaussian processes (Q6101651) (← links)
- Assessing the estimation of nearly singular covariance matrices for modeling spatial variables (Q6144425) (← links)
- Probabilistic physics-guided transfer learning for material property prediction in extrusion deposition additive manufacturing (Q6185217) (← links)
- Using spherical indentation to determine creep behavior with considering empirical friction coefficient (Q6540463) (← links)
- Leveraging the nugget parameter for efficient Gaussian process modeling (Q6569246) (← links)
- A solution to the ill-conditioning of gradient-enhanced covariance matrices for Gaussian processes (Q6589332) (← links)
- Flood hazard model calibration using multiresolution model output (Q6626569) (← links)
- Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion (Q6639333) (← links)
