tsxtreme (0.3.2)

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Bayesian Modelling of Extremal Dependence in Time Series.


Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.

Maintainer: Thomas Lugrin
Author(s): Thomas Lugrin

License: GPL (>= 2)

Uses: evd, MASS, mvtnorm

Released over 1 year ago.

2 previous versions



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