4.5 Article Proceedings Paper

Modelling spatial extreme events with environmental applications

期刊

SPATIAL STATISTICS
卷 28, 期 -, 页码 39-58

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.spasta.2018.04.007

关键词

Conditional multivariate extreme values; Copula; Gaussian processes; Max-stable processes; Pareto processes; Spatial extremes

资金

  1. Jeremy Benn Associates Ltd.
  2. Innovate UK [KTP009454, EP/P002285/1]
  3. Shell Research
  4. [EP/L015692/1]
  5. EPSRC [EP/P002285/1] Funding Source: UKRI

向作者/读者索取更多资源

Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has been on modelling the spatial componentwise maxima by max-stable processes. Here, we will explain the limitations of these modelling approaches and show howspatial models can be developed that overcome these deficiencies by exploiting the flexible conditional multivariate extremes models of Heffernan and Tawn (2004). We illustrate the benefits of these new spatial models through applications to North Sea wave analysis and to widespread UK river flood risk analysis. (C) 2018 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据