The following pages link to The origins of kriging (Q5935029):
Displaying 50 items.
- Spatial-temporal modellization of the \(\mathrm{NO}_2\) concentration data through geostatistical tools (Q290365) (← links)
- A comparison of spatial predictors when datasets could be very large (Q311779) (← links)
- Kriging of financial term-structures (Q323575) (← links)
- Approximate global optimization with convexity estimation of response surface using Kriging method (Q381395) (← links)
- Constrained efficient global optimization with support vector machines (Q381828) (← links)
- Inverse modelling of an aneurysm's stiffness using surrogate-based optimization and fluid-structure interaction simulations (Q381855) (← links)
- A multiparametric strategy for the two step optimization of structural assemblies (Q381973) (← links)
- Continuous trajectory planning of mobile sensors for informative forecasting (Q608428) (← links)
- On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust (Q667392) (← links)
- Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444) (← links)
- Informative windowed forecasting of continuous-time linear systems for mutual information-based sensor planning (Q895124) (← links)
- Structural optimization using kriging approximation (Q1400693) (← links)
- An efficient algorithm for kriging approximation and optimization with large-scale sampling data. (Q1430665) (← links)
- Prediction intervals for integrals of Gaussian random fields (Q1623768) (← links)
- Uncertainty quantification for a sailing yacht hull, using multi-fidelity Kriging (Q1646061) (← links)
- An expectation-maximization algorithm for the matrix normal distribution with an application in remote sensing (Q1661328) (← links)
- A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells (Q1684387) (← links)
- A unified framework for stochastic optimization (Q1719609) (← links)
- High-dimensional intrinsic interpolation using Gaussian process regression and diffusion maps (Q1719851) (← links)
- Generation of a cokriging metamodel using a multiparametric strategy (Q1934504) (← links)
- Uncertainty quantification in multiscale simulation of woven fiber composites (Q1986218) (← links)
- Systems of Gaussian process models for directed chains of solvers (Q1988026) (← links)
- Gradient-based methods for uncertainty quantification in hypersonic flows (Q2015969) (← links)
- Mapping interstellar dust with Gaussian processes (Q2080783) (← links)
- Low-rank multi-parametric covariance identification (Q2114111) (← links)
- Physics-informed machine learning with conditional Karhunen-Loève expansions (Q2126979) (← links)
- Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (Q2135585) (← links)
- 3D modeling of generalized Newtonian fluid flow with data assimilation using the least-squares finite element method (Q2138702) (← links)
- Few-shot learning for spatial regression via neural embedding-based Gaussian processes (Q2163183) (← links)
- Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
- Just interpolate: kernel ``ridgeless'' regression can generalize (Q2196223) (← links)
- High-fidelity hurricane surge forecasting using emulation and sequential experiments (Q2233188) (← links)
- Spatial modeling of trends in crime over time in Philadelphia (Q2291513) (← links)
- Lithology prediction in the subsurface by artificial neural networks on well and 3D seismic data in clastic sediments: a stochastic approach to a deterministic method (Q2300568) (← links)
- Comparing and selecting spatial predictors using local criteria (Q2348712) (← links)
- BUAK-AIS: efficient Bayesian updating with active learning kriging-based adaptive importance sampling (Q2670376) (← links)
- Properties and comparison of some kriging sub-model aggregation methods (Q2676512) (← links)
- Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances (Q3100797) (← links)
- Spatial Regression Models Using Inter-Region Distances in a Non-Random Context (Q3527766) (← links)
- Fixed Rank Kriging for Very Large Spatial Data Sets (Q3631452) (← links)
- (Q4999099) (← links)
- Uncertainty Quantification of Store-Separation Simulation Due to Ejector Modeling Using a Monte Carlo Approach with Kriging Model (Q5077116) (← links)
- Including a Nugget Effect in Lifted Brownian Covariance Models (Q5139354) (← links)
- (Q5214237) (← links)
- System development and application of Taylor Kriging metamodeling (Q5406011) (← links)
- Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process (Q5880409) (← links)
- On the equivalence of kriging and maximum entropy estimators (Q5935091) (← links)
- Statistical Implementations of Agent‐Based Demographic Models (Q6064366) (← links)
- Multi-fidelity surrogate-based optimal design of road vehicle suspension systems (Q6088558) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
