Time-varying extreme pattern with dynamic models
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DOI: 10.1007/s11749-015-0444-4
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- MacDonald, A. & Scarrott, C.J. & Lee, D. & Darlow, B. & Reale, M. & Russell, G., 2011. "A flexible extreme value mixture model," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2137-2157, June.
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Cited by:
- Jue Tao Lim & Yiting Han & Borame Sue Lee Dickens & Lee Ching Ng & Alex R Cook, 2020. "Time varying methods to infer extremes in dengue transmission dynamics," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-19, October.
- Chiara Lattanzi & Manuele Leonelli, 2019. "A changepoint approach for the identification of financial extreme regimes," Papers 1902.09205, arXiv.org.
- Marcelo Bourguignon & Fernando Ferraz Nascimento, 2021. "Regression models for exceedance data: a new approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 157-173, March.
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Keywords
GPD; Bayesian; Nonparametric; MCMC; 62F15 (Bayesian inference); 62G32 (Statistics of extreme values; tail inference); 91B84 (Economic time series analysis);All these keywords.
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