Pages that link to "Item:Q254420"

The following pages link to Cross-covariance functions for multivariate geostatistics (Q254420):

Displaying 46 items.

• VISUALIZATION OF COVARIANCE AND CROSS-COVARIANCE FIELDS (Q5045395) (← links)
• (Q5054610) (← links)
• Gaussian random fields: with and without covariances (Q5080403) (← links)
• Spatio‐Temporal Dependence Measures for Bivariate AR(1) Models with <i>α</i>‐Stable Noise (Q5111857) (← links)
• New Parsimonious Multivariate Spatial Model: Spatial Envelope (Q5134492) (← links)
• Likelihood-based inference for multivariate space-time wrapped-Gaussian fields (Q5222501) (← links)
• Multivariate spatial covariance models: a conditional approach (Q5384421) (← links)
• Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs (Q5871001) (← links)
• Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
• Estimation of covariance matrix from geochemical data with observations below detection limits (Q5935066) (← links)
• On the pseudo cross-variogram (Q5935067) (← links)
• Generalized cross-covariances and their estimation (Q5935097) (← links)
• Extending the Gneiting class for modeling spatially isotropic and temporally symmetric vector random fields (Q6044189) (← links)
• The Schoenberg kernel and more flexible multivariate covariance models in Euclidean spaces (Q6044739) (← links)
• Multivariate geometric anisotropic Cox processes (Q6049801) (← links)
• Saving storage in climate ensembles: a model-based stochastic approach (Q6050905) (← links)
• Discussion of ``Saving storage in climate ensembles: a model-based stochastic approach'' (Q6050910) (← links)
• Multivariate spatial prediction based on Andrews curves and functional (Q6066364) (← links)
• Semiparametric estimation of cross‐covariance functions for multivariate random fields (Q6074499) (← links)
• Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data (Q6079471) (← links)
• Are You All Normal? It Depends! (Q6089882) (← links)
• Random Forests for Spatially Dependent Data (Q6107238) (← links)
• Bounds in \(L^1\) Wasserstein distance on the normal approximation of general M-estimators (Q6158227) (← links)
• Covariance models for multivariate random fields resulting from pseudo cross-variograms (Q6168118) (← links)
• Assessing the significance of the correlation between the components of a bivariate Gaussian random field (Q6179603) (← links)
• Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques (Q6188255) (← links)
• Matrix-valued isotropic covariance functions with local extrema (Q6189147) (← links)
• Spatial data fusion for large non-Gaussian remote sensing datasets (Q6540535) (← links)
• Fast and exact simulation of univariate and bivariate Gaussian random fields (Q6541460) (← links)
• Heteroscedastic asymmetric spatial processes (Q6541480) (← links)
• The Shkarofsky-Gneiting class of covariance models for bivariate Gaussian random fields (Q6541481) (← links)
• Cross-dimple in the cross-covariance functions of bivariate isotropic random fields on spheres (Q6541595) (← links)
• Multivariate random fields evolving temporally over hyperbolic spaces (Q6556233) (← links)
• The Matérn model: a journey through statistics, numerical analysis and machine learning (Q6579154) (← links)
• 30 years of space-time covariance functions (Q6602109) (← links)
• Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign (Q6621636) (← links)
• Functional inverted Wishart for Bayesian multivariate spatial modeling with application to regional climatology model data (Q6625877) (← links)
• High-dimensional multivariate geostatistics: a Bayesian matrix-normal approach (Q6626391) (← links)
• Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing (Q6626481) (← links)
• Multivariate nearest-neighbors Gaussian processes with random covariance matrices (Q6626655) (← links)
• Active learning for efficiently training emulators of computationally expensive mathematical models (Q6629807) (← links)
• Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment (Q6631915) (← links)
• Rudin's extension theorems and exponential convexity for matrix- and function-valued positive semidefinite functions (Q6636494) (← links)
• Finite population survey sampling: an unapologetic Bayesian perspective (Q6648792) (← links)
• Bayesian nonparametric generative modeling of large multivariate non-Gaussian spatial fields (Q6655987) (← links)
• A spatially varying hierarchical random effects model for longitudinal macular structural data in glaucoma patients (Q6665527) (← links)