Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/61563

TitleContributions for modeling characterization of heavy-tail time series
Author(s)Ferreira, Marta Susana
KeywordsExtreme values theory
Stationary sequences
Spearman correlation
Kendall correlation
Issue date2019
Abstract(s)The occurrence of extreme phenomena and their devastating impact have been on the agenda, especially in areas of environmental and economic-financial sciences, extending to insurance activity. The theory of extreme values allows an adequate approach in the statistical study of data associated with this type of phenomena. Heavy tail models thus play an important role and are increasingly a resource. In this work we will revisit some max/min-autoregressive and maximum-moving models and contribute to their characterization by deriving their autocorrelation structure based on the Spearman and Kendall coefficients, both useful tools in the identification of models in real data applications.
TypeConference paper
URIhttps://hdl.handle.net/1822/61563
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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