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;...
Gespeichert in:
Veröffentlicht in: | Revstat 2012-03, Vol.10 (1), p.109 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |