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Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data

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Publication:1615275
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DOI10.1016/j.csda.2018.07.004zbMath1471.62065OpenAlexW2884512075WikidataQ114197295 ScholiaQ114197295MaRDI QIDQ1615275

Lauren Hall, Joshua P. French, Piotr S. Kokoszka, Stilian A. Stoev

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.07.004


zbMATH Keywords

functional dataspatio-temporal analysisextreme eventsheat waveselsevier


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Applications of statistics to environmental and related topics (62P12)


Related Items (4)

Editorial for the special issue on high-dimensional and functional data analysis ⋮ Testing normality of data on a multivariate grid ⋮ A Multifidelity Quantile-Based Approach for Confidence Sets of Random Excursion Sets with Application to Ice-Sheet Dynamics ⋮ Parsimonious time series modeling for high frequency climate data



Cites Work

  • Testing for periodicity in functional time series
  • Unnamed Item


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