The following pages link to Multivariable spatial prediction (Q5935060):
Displaying 35 items.
- Cross-covariance functions for multivariate geostatistics (Q254420) (← links)
- Capturing multivariate spatial dependence: model, estimate and then predict (Q254433) (← links)
- A spatial model for multivariate lattice data (Q280280) (← links)
- Variogram matrix functions for vector random fields with second-order increments (Q500631) (← links)
- Isotropic variogram matrix functions on spheres (Q500725) (← links)
- A class of variogram matrices for vector random fields in space and/or time (Q632146) (← links)
- An approach to modeling asymmetric multivariate spatial covariance structures (Q634560) (← links)
- Majority rule in multi-dimensional spatial models (Q753641) (← links)
- Multivariate intrinsic random functions for cokriging (Q844096) (← links)
- Codispersion coefficients for spatial and temporal series (Q945460) (← links)
- Modeling and prediction of multivariate space-time random fields (Q957133) (← links)
- Extraction of spatial features using factor methods, illustrated on stream sediment data (Q995829) (← links)
- Modeling and prediction for multivariate spatial factor analysis (Q1399278) (← links)
- Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue (Q1621228) (← links)
- Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models (Q1660159) (← links)
- Prediction of nonlinear spatial functionals (Q1869096) (← links)
- Robust trend parameters in a multivariate spatial linear model (Q1875700) (← links)
- Flexible modeling of variable asymmetries in cross-covariance functions for multivariate random fields (Q2084396) (← links)
- Optimal designs for some bivariate cokriging models (Q2156802) (← links)
- Continuous time-varying Kriging for spatial prediction of functional data: an environmental application (Q2260131) (← links)
- A conversation with Noel Cressie (Q2325641) (← links)
- Inter Layer Intra Prediction Using Lower Layer Information for Spatial Scalability (Q3063062) (← links)
- Nonparametric spatial prediction under stochastic sampling design (Q3569205) (← links)
- Adaptive sampling in hierarchical simulation (Q3590428) (← links)
- Regional Spatial Modeling of Topsoil Geochemistry (Q3623759) (← links)
- Prediction diagnostics for spatial linear models (Q4015818) (← links)
- Transect-spacing design of ice cores on the Antarctic continent (Q4222053) (← links)
- Spatial Statistical Data Fusion for Remote Sensing Applications (Q4648542) (← links)
- Indicator Variables in Spatial Prediction When<b>Σ</b>Is Unknown (Q4798089) (← links)
- Hierarchical Models in Environmental Science (Q4832049) (← links)
- Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations (Q5041347) (← links)
- Universal co-kriging under intrinsic coregionalization (Q5935070) (← links)
- Characterization theorems for pseudo cross-variograms (Q6148872) (← links)
- Covariance models for multivariate random fields resulting from pseudo cross-variograms (Q6168118) (← links)
- Calibrated prediction regions for Gaussian random fields (Q6625904) (← links)
