Investigating precipitation extremes in South Carolina with focus on the state's October 2015 precipitation event

DOI10.1080/02664763.2018.1477926OpenAlexW2804949984MaRDI QIDQ5036505

Brook T. Russell

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2018.1477926

zbMATH Keywords

generalized extreme value distributionBayesian hierarchical modelingspatiotemporal extremesprecipitation return levelsseverity-area-frequency analysis

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• R
• spBayes
• Stan
• BayesDA
• ismev
• SpatialExtremes
• RStan
• rstan
• NUTS

Cites Work

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• A hierarchical model for the analysis of spatial rainfall extremes
• Continuous spatial process models for spatial extreme values
• Spatial hierarchical modeling of precipitation extremes from a regional climate model
• Sur la distribution limite du terme maximum d'une série aléatoire
• Bayesian Spatial Modeling of Extreme Precipitation Return Levels
• An introduction to statistical modeling of extreme values
• Statistical modeling of spatial extremes
• Bayesian hierarchical modeling of extreme hourly precipitation in Norway

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