社论:EVA 2021美国野火极端时空预测数据挑战

IF 1.1 3区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Extremes Pub Date : 2023-03-27 DOI:10.1007/s10687-023-00465-x
T. Opitz
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Editorial: EVA 2021 data challenge on spatiotemporal prediction of wildfire extremes in the USA
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来源期刊
Extremes
Extremes MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.20
自引率
7.70%
发文量
15
审稿时长
>12 weeks
期刊介绍: Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged. Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue.
期刊最新文献
Semiparametric approaches for the inference of univariate and multivariate extremes Modern extreme value statistics for Utopian extremes. EVA (2023) Conference Data Challenge: Team Yalla A utopic adventure in the modelling of conditional univariate and multivariate extremes On Gaussian triangular arrays in the case of strong dependence Cross-validation on extreme regions
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