A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes

Mathematics

• Bivariate 100%
• Extreme Value 100%
• Matrix 50%
• Bayesian 50%
• Gaussian Distribution 50%
• Stochastic Partial Differential Equation 50%
• Bayesian Inference 50%
• Kriging 50%
• Cross-Validation 50%
• Inference Method 50%
• Missing Observation 50%
• Approximates 50%
• Variance 50%
• Gaussian Process 50%
• Markov Chain Monte Carlo 50%
• Spatial Data 50%

Keyphrases

• Wildfire Frequency 100%
• Wildfire Size 100%
• Fixed Rank Kriging 50%
• Spatial Data Modeling 50%