Pages that link to "Item:Q290343"
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The following pages link to Covariance tapering for multivariate Gaussian random fields estimation (Q290343):
Displaying 14 items.
- Comparing composite likelihood methods based on pairs for spatial Gaussian random fields (Q69394) (← links)
- Unifying compactly supported and Matérn covariance functions in spatial statistics (Q69403) (← links)
- Composite likelihood inference for multivariate Gaussian random fields (Q321453) (← links)
- European population exposure to airborne pollutants based on a multivariate spatio-temporal model (Q321458) (← links)
- Covariance tapering for prediction of large spatial data sets in transformed random fields (Q380011) (← links)
- On fixed-domain asymptotics and covariance tapering in Gaussian random field models (Q1952185) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Separable covariance arrays via the Tucker product, with applications to multivariate relational data (Q2634082) (← links)
- Modeling Tangential Vector Fields on a Sphere (Q3121556) (← links)
- Stable Likelihood Computation for Gaussian Random Fields (Q4562661) (← links)
- Spectral-norm risk rates for multi-taper estimation of Gaussian processes (Q5078831) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Computationally efficient nonstationary nearest-neighbor Gaussian process models using data-driven techniques (Q6626105) (← links)
- A Scalable Gaussian Process for Large-Scale Periodic Data (Q6631142) (← links)
