Modelling time series extremes

* The need to model rare events of univariate time series has led to many recent advances in theory and methods. In this paper, we review telegraphically the literature on extremes of dependent time series and list some remaining challenges. Key-Words: * Bayesian statistics; Box-Cox transformation;...

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Veröffentlicht in:Revstat 2012-03, Vol.10 (1), p.109
Hauptverfasser: Chavez-Demoulin, V, Davison, A.C
Format: Artikel
Sprache:eng
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Zusammenfassung:* The need to model rare events of univariate time series has led to many recent advances in theory and methods. In this paper, we review telegraphically the literature on extremes of dependent time series and list some remaining challenges. Key-Words: * Bayesian statistics; Box-Cox transformation; clustering; dependence; extremal index; extremogram; generalized extreme-value distribution; generalized Pareto distribution; Hill estimator; nonparametric smoothing; non-stationarity; regression; tail index. AMS Subject Classification: * 62E20, 62F15, 62G05, 62G08, 62G32, 62M05, 62M10.
ISSN:1645-6726
2183-0371
DOI:10.57805/revstat.v10i1.113