Statistical Modelling of Spatial Extremes

By A. C. Davison, Simone A. Padoan, Mathieu Ribatet. 2012

87 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a272392ecae60f2a327c5266f6b5e64fdd20392a

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Citations in the corpus

Extreme value copulas and max-stable processes (2013, background): “Following the lines of [5], Table 3 shows estimates of the probabilities that the temperatures observed in year 2003, i.”
Modeling asymptotically independent spatial extremes based on Laplace random fields (2015, methodology): “Extreme value analysis provides a toolbox for modeling and estimating extreme events in univariate, multivariate, spatial and spatiotemporal processes (Coles, 2001; Beirlant et al., 2004; Davison et al., 2012).”
Spatial extremes: Max-stable processes at work (2013, methodology): “Similarly to the case study given in Davison et al. (2012), it might indicate difficulties in estimating the upper bound of the extremal coefficient function.”
Space–time modelling of extreme events (2012, background): “Other modelling approaches for spatial extremes, based on copulas or on latent processes, are presented by Davison et al. (2012).”
Mapping extreme snowfalls in the French Alps using max‐stable processes (2013, unknown): “Using the general expression of the bivariate probability [Brown and Resnick, 1977; Kabluchko et al., 2009; Davison et al., 2012],”
Bayesian hierarchical modeling of extreme hourly precipitation in Norway (2013, methodology): “where we follow Davison et al. (2012) and give the overdispersion term s a mean zero Gaussian process prior with exponential decay.”
Modeling Spatial Processes with Unknown Extremal Dependence Class (2017, background): “…P [X1 ≤ F−1X {1 − (tx1)−1} , . . . , Xd ≤ F−1X { 1 − (txd )−1 }]) , which describes the joint dependence of the associated maxstable or generalized Pareto process, see Davison, Padoan, and Ribatet (2012), Cooley et al. (2012), Segers (2012), or Davison and Huser (2015) for recent reviews on…”
Evaluating environmental joint extremes for the offshore industry (2012, methodology): “(2010), Davison and Gholamrezaee (2012) and Davison et al. (2012). Censored likelihood methods provide an approach to making these models, which assume componentwise maxima, available for analysis of threshold exceedences (e.g. Huser and Davison (2012, draft)). Furthermore, Wadsworth and Tawn (2012)”