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Stochastic Processes and their Applications
Article . 2020 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2018
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Regularly varying random fields

Authors: Wu, Lifan; Samorodnitsky, Gennady;

Regularly varying random fields

Abstract

We study the extremes of multivariate regularly varying random fields. The crucial tools in our study are the tail field and the spectral field, notions that extend the tail and spectral processes of Basrak and Segers (2009). The spatial context requires multiple notions of extremal index, and the tail and spectral fields are applied to clarify these notions and other aspects of extremal clusters. An important application of the techniques we develop is to the Brown-Resnick random fields.

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Keywords

Brown-Resnick random field, Asymptotic distribution theory in statistics, tail field, extremal index, Probability (math.PR), spectral field, 60G70, 91B72 (Primary), 62E20 (Secondary), Extreme value theory; extremal stochastic processes, random field, FOS: Mathematics, Random fields, regular variation, Mathematics - Probability

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
bronze