Practical strategies for GEV-based regression models for extremes

Mathematics

• Approximates 16%
• Bayesian 16%
• Concludes 16%
• Covariate 16%
• Extreme Value Distribution 66%
• Frchet Distribution 16%
• Gumbel Distribution 16%
• Left Tail 16%
• Limiting Distribution 16%
• Parameters 16%
• Preserving Property 16%
• Random Variable 16%
• Reparametrization 16%
• Samples 33%
• Shape Parameter 16%
• Simulation Study 16%
• Smaller Sample 16%

INIS

• applications 16%
• approximations 8%
• california 8%
• data 8%
• distribution 100%
• gev range 25%
• hands 8%
• levels 8%
• losses 8%
• nitrogen dioxide 8%
• pollution 8%
• property values 8%
• randomness 8%
• shape 8%
• simulation 8%
• values 100%

Economics, Econometrics and Finance

• Bayesian 10%
• Extreme Value 100%
• Loss 10%
• Regression Model 100%