Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets

Keyphrases

• Spatial Datasets 100%
• Hierarchical Low-rank Approximation 100%
• Computational Cost 50%
• Computational Burden 50%
• Approximation Methods 50%
• Simulation Study 50%
• Maximum Likelihood Estimation 50%
• Soil Moisture 50%
• Approximation Scheme 50%
• Climate Variability 50%
• Gaussian Process Model 50%
• Statistical Efficiency 50%
• Composite Likelihood 50%
• Spatial Statistics 50%
• New Approximation 50%
• Mississippi River Delta 50%
• Unrealistic Assumptions 50%

Mathematics

• Low-Rank Approximation 100%
• Computational Cost 50%
• Maximum Likelihood Estimation 50%
• Simulation Study 50%
• Gaussian Process 50%
• Face Statistic 50%
• Composite Likelihood 50%
• Approximation Method 50%
• Supplementary Material 50%

Engineering

• Maximum Likelihood Estimation 100%
• Gaussians 100%
• Supplementary Material 100%
• Computational Cost 100%