Spatial Dependence and Space-Time Trend in Extreme Events
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- Einmahl, John & Ferreira, Ana & de Haan, Laurens & Neves, C. & Zhou, C., 2020. "Spatial Dependence and Space-Time Trend in Extreme Events," Other publications TiSEM ae5818cd-f071-4275-9577-d, Tilburg University, School of Economics and Management.
References listed on IDEAS
- John H. J. Einmahl & Laurens Haan & Chen Zhou, 2016.
"Statistics of heteroscedastic extremes,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 31-51, January.
- Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2014. "Statistics of Heteroscedastic Extremes," Discussion Paper 2014-015, Tilburg University, Center for Economic Research.
- Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2014. "Statistics of Heteroscedastic Extremes," Other publications TiSEM 19952ae4-25ff-4e1b-8627-d, Tilburg University, School of Economics and Management.
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More about this item
Keywords
Multivariate extreme value statistics; non-identical distributions; sequential tail empirical process; testing;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2020-04-06 (Econometrics)
- NEP-ORE-2020-04-06 (Operations Research)
- NEP-RMG-2020-04-06 (Risk Management)
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