A Non-Parametric Entropy-Based Approach to Detect Changes in Climate Extremes

DOI10.1111/rssb.12058zbMath1411.86009OpenAlexW1974475561WikidataQ116752808 ScholiaQ116752808MaRDI QIDQ5743274

Philippe Naveau, Théo Rietsch, Armelle Guillou

Publication date: 9 May 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/rssb.12058

zbMATH Keywords

Kullback-Leibler divergencetemperatures

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Statistics of extreme values; tail inference (62G32) Geostatistics (86A32)

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