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作者机构:Univ Geneva ISDC Data Ctr Astrophys CH-1290 Versoix Switzerland Ecole Polytech Fed Lausanne EPFL FSB MATHAA STAT CH-1015 Lausanne Switzerland
出 版 物:《EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS》 (Eur. Phys. J.: Spec. Top.)
年 卷 期:2012年第205卷第1期
页 面:131-146页
核心收录:
基 金:Swiss National Science Foundation CCES
主 题:Venezuelan Dragon-King catastrophe catastrophes Venezuelan expectation-maximisation algorithm extremum values Venezuela Clusters Case studies Mixture models
摘 要:We describe a failure of standard extremal models to account for a catastrophic rainfall event in the coastal regions of Venezuela on 14-16 December 1999, due both to inaccurate tail modelling and to an inadequate treatment of clusters of rare events. We investigate this failure, using a Dirichlet mixture model to approximate a form of moving maximum process that should provide accurate models for wide classes of extremal behaviour. This so-called M3-Dirichlet model may be fitted using an EM algorithm, and provides a reasonable explanation for the properties of the data, in terms of a seasonally-varying mixture of types of extreme rainfall clusters.