Pages that link to "Item:Q2080350"
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The following pages link to Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods (Q2080350):
Displaying 16 items.
- A comparison between Markov approximations and other methods for large spatial data sets (Q333683) (← links)
- A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
- Fast kriging of large data sets with Gaussian Markov random fields (Q1023566) (← links)
- Statistical modeling of spatial big data: an approach from a functional data analysis perspective (Q1642410) (← links)
- Fitting large-scale structured additive regression models using Krylov subspace methods (Q1658522) (← links)
- Multivariate spatial meta kriging (Q1726740) (← links)
- Sequential kriging and cokriging: Two powerful geostatistical approaches (Q1966513) (← links)
- Stochastic local interaction model: an alternative to kriging for massive datasets (Q2066859) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- A class of multi-resolution approximations for large spatial datasets (Q4986350) (← links)
- Large spatial data modeling and analysis: A Krylov subspace approach (Q5043794) (← links)
- Erratum: Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces (Q5176061) (← links)
- Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets (Q5243733) (← links)
- Linear-Cost Covariance Functions for Gaussian Random Fields (Q6107197) (← links)
- Scalable computations for nonstationary Gaussian processes (Q6173565) (← links)
- Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems (Q6660076) (← links)
