Bayesian Uncertainty Management in Temporal Dependence of Extremes

Both marginal and dependence features must be described when modelling the extremes of a stationary time series. There are standard approaches to marginal modelling, but long- and short-range dependence of extremes may both appear. In applications, an assumption of long-range independence often seem...

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Veröffentlicht in:arXiv.org 2016-03
Hauptverfasser: Lugrin, Thomas, Davison, Anthony C, Tawn, Jonathan A
Format: Artikel
Sprache:eng
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Zusammenfassung:Both marginal and dependence features must be described when modelling the extremes of a stationary time series. There are standard approaches to marginal modelling, but long- and short-range dependence of extremes may both appear. In applications, an assumption of long-range independence often seems reasonable, but short-range dependence, i.e., the clustering of extremes, needs attention. The extremal index \(0
ISSN:2331-8422