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Cooley, D., Naveau, P. and Poncet, P. (2006) Variograms for Spatial Max-Stable Random Fields. In: Bertail, P., Soulier, P. and Doukhan, P., Eds., Dependence in 8 Probability and Statistics, Lecture Notes in Statistics, Vol. 187, Springer, New York, 373-390.
https://doi.org/10.1007/0-387-36062-X_17

has been cited by the following article:

• TITLE: Sampling Geostatistical Structures in Extremal Framework

  AUTHORS: Fabrice Ouoba, Hay Yoba Talkibing, Diakarya Barro

  KEYWORDS: Extremal Index, Extremogram, Variogram, Copulas, Stationary Process, Extreme Values

  JOURNAL NAME: Open Journal of Statistics, Vol.13 No.1, February 24, 2023

  ABSTRACT: Geostatistics of extreme values makes it possible to model the asymptotic behavior of random phenomena that depend on time or space. In this paper, we propose new models of the extremal coefficient of a stationary random field where the cumulative distribution is associated with a multivariate copula. More precisely, some models of extensions of the extremogram and these derivatives are built in a spatial framework. Moreover, both these two geostatistical tools are modeled using the extremal variogram which characterizes the asymptotic stochastic behavior of the phenomena.