A hierarchical model for the analysis of spatial rainfall extremes

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Spatial modeling of extreme snow depth (2011, methodology): “The first and most popular is to introduce a latent process, conditional on which standard extreme models are applied [Coles and Casson (1998); Fawcett and Walshaw (2006); Cooley et al. (2006); Cooley, Nychka and Naveau (2007); Gaetan and Grigoletto (2007); Sang and Gelfand (2009b); Eastoe (2009)].”
Bayesian hierarchical modeling of extreme hourly precipitation in Norway (2013, methodology): “Gaetan & Grigoletto (2007) use a spatio-temporal BHM to assess trends in extreme rainfall over the Triveneto region (Italy) and Sang & Gelfand (2009) apply a similar model to study extreme precipitation events from an interpolated dataset in the Cape Floristic Region of South Africa.”
Statistical Modeling of Spatial Extremes (2012, background): “Gaetan and Grigoletto (2007) analyze annual rainfall maxima at sites in northeastern Italy, using nonstationary spatial dependence and random temporal trend in the parameters of the generalized extreme-value distribution.”
Statistical Modelling of Spatial Extremes (2012, background): “Gaetan and Grigoletto (2007) analyse annual rainfall maxima at sites in north-eastern Italy, using non-stationary spatial dependence and random temporal trend in the parameters of the generalized extreme-value distribution.”