Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere

Keyphrases

• N-dimensional 100%
• Covariance Function 100%
• Gaussian Random Field 100%
• Skew-Gaussian 100%
• Surface Air Temperature 50%
• Simulation Experiment 50%
• Closed-form Expression 50%
• Probability Density Function 50%
• Composite Likelihood 50%
• Bivariate Distribution 50%
• Marginal Distribution 50%
• Likelihood Approach 50%
• Dimensional Distribution 50%
• Planet Earth 50%
• Marginal Covariances 50%
• Modeling Data 50%
• Gaussian Distribution 50%
• Spatial Random Fields 50%
• Cross-covariance 50%
• Full Likelihood 50%
• Case Inference 50%
• Cumulative Density Function 50%

Mathematics

• Covariance Function 100%
• Gaussian Distribution 100%
• Gaussian Random Field 100%
• Real Data 50%
• Marginals 50%
• Closed Form 50%
• Covariance 50%
• Random Field 50%
• Composite Likelihood 50%
• Bivariate Distribution 50%
• Marginal Distribution 50%
• Likelihood Approach 50%
• Dimensional Distribution 50%
• Unit Sphere 50%
• Explicit Expression 50%
• Probability Density Function 50%

INIS

• distribution 100%
• randomness 100%
• multivariate analysis 100%
• spheres 100%
• data 66%
• simulation 33%
• units 33%
• modeling 33%
• gauss function 33%
• earth planet 33%
• probability density functions 33%
• surface air 33%