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      Point processes in a metric space

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          Abstract

          As a useful and elegant tool of extreme value theory, the study of point processes on a metric space is important and necessary for the analyses of heavy-tailed functional data. This paper focuses on the definition and properties of such point processes. A complete convergence result for a regularly varying iid sequence in a metric space is proved as an example of the application in extreme value theory.

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          An Introduction to the Theory of Point Processes

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            Regularly varying multivariate time series

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              Regularly varying measures on metric spaces: Hidden regular variation and hidden jumps

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                Author and article information

                Journal
                2016-11-21
                Article
                1611.06995
                e198093b-eade-4563-b823-bcde5201d46c

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                math.PR

                Probability
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