Practical issues with modeling extreme Brazilian rainfall

DOI10.1214/20-BJPS495zbMath1471.62517OpenAlexW3118260856WikidataQ111093830 ScholiaQ111093830MaRDI QIDQ2233636

Isolde T. S. Previdelli, Paulo V. C. Pereira, Anthony C. Davison

Publication date: 11 October 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-bjps495

zbMATH Keywords

penultimate approximationdata qualityBayesian hierarchical modelstatistics of extremesreturn level mapsmall-sample bias

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Statistics of extreme values; tail inference (62G32) Meteorology and atmospheric physics (86A10)

Uses Software

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• ismev

Cites Work

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• Towards estimating extremal serial dependence via the bootstrapped extremogram
• Extremes and related properties of random sequences and processes
• Statistical inference using extreme order statistics
• Anticipating Catastrophes through Extreme Value Modelling
• Inference for Clusters of Extreme Values
• Bayesian Measures of Model Complexity and Fit
• Statistics of Extremes
• Heavy-Tail Phenomena
• An introduction to statistical modeling of extreme values
• Statistical modeling of spatial extremes

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