Borot, Paola and Tawn, Jonathan A. (1998) Models for the extremes of Markov chains. Biometrika, 85 (4). pp. 851-867. ISSN 1464-3510Full text not available from this repository.
The modelling of extremes of a time series has progressed from the assumption of independent observations to more realistic forms of temporal dependence. In this paper, we focus on Markov chains, deriving a class of models for their joint tail which allows the degree of clustering of extremes to decrease at high levels, overcoming a key Limitation in current methodologies. Theoretical aspects of the model are examined and a simulation algorithm is developed through which the stochastic properties of summaries of the extremal txhaviour of the chain are evaluated. The approach is illustrated through a simulation study of extremal events of Gaussian autoregressive processes and an application to temperature data.
|Journal or Publication Title:||Biometrika|
|Uncontrolled Keywords:||Asymptotic independence • Bivariate extreme value distribution • Extremal index • Extreme value theory • Gaussian process • Markov chain|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||13 Nov 2008 11:04|
|Last Modified:||27 Feb 2017 01:12|
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