Statistical downscaling of extreme precipitation events using extreme value theory

DOI10.1007/S10687-010-0107-5zbMath1238.62135OpenAlexW2106590846WikidataQ58227038 ScholiaQ58227038MaRDI QIDQ549636

Petra Friederichs

Publication date: 18 July 2011

Published in: Extremes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10687-010-0107-5

zbMATH Keywords

Poisson point processesquantile regressionlocal extremes downscalingpeaks over thresholds

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12) Point estimation (62F10) Statistics of extreme values; tail inference (62G32)

Related Items (2)

Prediction of catastrophes in space over time ⋮ Estimation of High Conditional Quantiles for Heavy-Tailed Distributions

Uses Software

• Fahrmeir
• ismev
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Cites Work

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• Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
• Sur la distribution limite du terme maximum d'une série aléatoire
• Regression Quantiles
• Goodness of Fit and Related Inference Processes for Quantile Regression
• Statistics of Extremes
• Strictly Proper Scoring Rules, Prediction, and Estimation
• A Simplex Method for Function Minimization
• The two-dimensional Poisson process and extremal processes
• An introduction to statistical modeling of extreme values
• Bayesian quantile regression

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