Geostatistics of Dependent and Asymptotically Independent Extremes
Geostatistics of Dependent and Asymptotically Independent Extremes
复制标题
相关极值和渐近独立极值的地质统计学
DOI：
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发表时间：
2013
影响因子：
2.6
通讯作者：
Emeric Thibaud
中科院分区：
文献类型：
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作者：
A. Davison;R. Huser;Emeric Thibaud
罕见事件的空间建模在环境科学中有着明显的应用，在评估灾难性事件（如热浪或大范围洪水）对粮食安全和社会基础设施可持续性的影响时至关重要。虽然经典的地质统计学主要基于高斯过程和分布，但这些并不适用于极端情况，最大稳定和相关过程提供了更合适的模型。本文提供了一个简要的概述，目前的工作统计的空间极值，重点是最大稳定性的假设的后果。冬季最低温度和日降雨量的应用程序进行了说明。
Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infrastructure. Although classical geostatistics is largely based on Gaussian processes and distributions, these are not appropriate for extremes, for which max-stable and related processes provide more suitable models. This paper provides a brief overview of current work on the statistics of spatial extremes, with an emphasis on the consequences of the assumption of max-stability. Applications to winter minimum temperatures and daily rainfall are described.
DOI：
10.1111/rssb.12074
发表时间：
2015-01-01
影响因子：
5.8
作者：
Engelke, Sebastian;Malinowski, Alexander;Schlather, Martin
通讯作者：
Schlather, Martin