Pages that link to "Item:Q1023566"
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The following pages link to Fast kriging of large data sets with Gaussian Markov random fields (Q1023566):
Displaying 14 items.
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (Q68580) (← links)
- A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields (Q148999) (← links)
- Asymptotic properties of multivariate tapering for estimation and prediction (Q290722) (← links)
- A comparison of spatial predictors when datasets could be very large (Q311779) (← links)
- Kriging and spatial design accelerated by orders of magnitude: combining low-rank covariance approximations with FFT-techniques (Q500731) (← links)
- Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields (Q949450) (← links)
- Kernel interpolation (Q2275648) (← links)
- GPU-accelerated simulation of massive spatial data based on the modified planar rotator model (Q2284097) (← links)
- Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields (Q2391469) (← links)
- Fast and accurate approximation to Kriging using common data neighborhoods (Q2399829) (← links)
- Learning with partition of unity-based kriging estimators (Q2698244) (← links)
- Fully Bayesian field slam using Gaussian Markov random fields (Q2821246) (← links)
- Kriging with large data sets using sparse matrix techniques (Q4369366) (← links)
- Separable spatio-temporal kriging for fast virtual sensing (Q6580743) (← links)
