Modelling Time Series Extremes

Autor: V. Chavez-Demoulin, A.C. Davison
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Revstat Statistical Journal, Vol 10, Iss 1 (2012)
Druh dokumentu: article
ISSN: 1645-6726
2183-0371
DOI: 10.57805/revstat.v10i1.113
Popis: 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.
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