Non-Gaussian geostatistical modeling using (skew) t processes

Mathematics

• Gaussian Process 100%
• Gaussian Distribution 100%
• Marginal Distribution 100%
• Marginals 50%
• Square Root 50%
• Analytic Expression 50%
• Simulation Study 50%
• Geometrical Property 50%
• Bivariate Distribution 50%
• Heavy Tail 50%
• Asymmetric 50%
• Stationary Process 50%
• Spatial Data 50%
• Linear Predictor 50%
• Likelihood 50%

Keyphrases

• Geostatistical Modeling 100%
• Non-Gaussian 100%
• T-process 100%
• Marginal Distribution 50%
• Regression Analysis 25%
• Australia 25%
• Estimation Method 25%
• Georeferencing 25%
• Geometric Properties 25%
• Analytic Expression 25%
• Simulation Study 25%
• Bivariate Distribution 25%
• Second-order Properties 25%
• Pairwise Likelihood 25%
• Gaussian Process 25%
• Heavy Tails 25%
• Dependence Analysis 25%
• Linear Predictor 25%
• Stationary Process 25%
• Maximum Temperature 25%
• Scale Mixing 25%
• Square-root Process 25%
• Inverse Square Root 25%
• Skew Gaussian Process 25%
• Spatial Data 25%

INIS

• distribution 100%
• modeling 100%
• gaussian processes 66%
• data 33%
• datasets 33%
• performance 33%
• simulation 33%
• roots 33%
• construction 33%
• mixing 33%
• asymmetry 33%
• australia 33%