Pages that link to "Item:Q1755126"
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The following pages link to A copula model for non-Gaussian multivariate spatial data (Q1755126):
Displaying 17 items.
- Capturing multivariate spatial dependence: model, estimate and then predict (Q254433) (← links)
- An approach to modeling asymmetric multivariate spatial covariance structures (Q634560) (← links)
- Copula-based geostatistical modeling of continuous and discrete data including covariates (Q2002020) (← links)
- Conditions on which cokriging does not do better than kriging (Q2079621) (← links)
- Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
- Conditional normal extreme-value copulas (Q2231306) (← links)
- Spatial pair-copula model of grade for an anisotropic gold deposit (Q2325285) (← links)
- Spatial composite likelihood inference using local C-vines (Q2350040) (← links)
- Modeling functional data with spatially heterogeneous shape characteristics (Q2912323) (← links)
- R‐vine models for spatial time series with an application to daily mean temperature (Q3459928) (← links)
- Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data (Q4623240) (← links)
- Copula‐based semiparametric models for spatiotemporal data (Q5121031) (← links)
- A Model for Large Multivariate Spatial Datasets (Q5226625) (← links)
- On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data (Q5361191) (← links)
- Multivariate spatial covariance models: a conditional approach (Q5384421) (← links)
- Valid Model-Free Spatial Prediction (Q6567886) (← links)
- A general construction of multivariate dependence structures with nonmonotone mappings and its applications (Q6579150) (← links)
