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Tukey max-stable processes for spatial extremes
Journal article   Peer reviewed

Tukey max-stable processes for spatial extremes

Ganggang Xu and Marc G Genton
Spatial statistics, Vol.18, pp.431-443
2016-11

Abstract

Brown–Resnick process Composite likelihood Extremal coefficient Extremal-[formula omitted] process Geometric Gaussian process Max-stable process
We propose a new type of max-stable process that we call the Tukey max-stable process for spatial extremes. It brings additional flexibility to modeling dependence structures among spatial extremes. The statistical properties of the Tukey max-stable process are demonstrated theoretically and numerically. Simulation studies and an application to Swiss rainfall data indicate the effectiveness of the proposed process.

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Domestic collaboration
International collaboration
Citation topics
9 Mathematics
9.92 Statistical Methods
9.92.1800 L-Moments
Web Of Science research areas
Geosciences, Multidisciplinary
Mathematics, Interdisciplinary Applications
Remote Sensing
Statistics & Probability
ESI research areas
Mathematics

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