Advances in statistical modeling of spatial extremes

The classical modeling of spatial extremes relies on asymptotic models (i.e., max‐stable or r‐Pareto processes) for block maxima or peaks over high thresholds, respectively. However, at finite levels, empirical evidence often suggests that such asymptotic models are too rigidly constrained, and that...

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Veröffentlicht in:	Wiley interdisciplinary reviews. Computational statistics Jg. 14; H. 1; S. e1537 - n/a
Hauptverfasser:	Huser, Raphaël, Wadsworth, Jennifer L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.01.2022 Wiley Subscription Services, Inc
Schlagworte:	asymptotic dependence and independence Asymptotic properties Bridges Dimensions Environment models extreme‐value theory Inference Mathematical models max‐stable process Modelling Pareto process random scale mixture Statistical methods Statistical models Stochastic processes
ISSN:	1939-5108, 1939-0068
Online-Zugang:	Volltext
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