A comparative tour through the simulation algorithms for max-stable processes
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Max-stable processes form a fundamental class of stochastic processes in the analysis of spatio-temporal extreme events. Simulation is often a necessary part of inference of certain characteristics, in particular for future spatial risk assessment. The purpose of this article is to give an overview over existing procedures for this task, to put them into perspective of one another and to make comparisons with respect to their properties making use of some new theoretical results.
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