A multiplicative log-Laplace nugget added to random scale-mixture processes for spatial extremes produces a censored likelihood that factors into closed-form univariate densities while preserving the original extremal dependence structure.
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Log-Laplace Nuggets for Fully Bayesian Fitting of Spatial Extremes Models to Threshold Exceedances
A multiplicative log-Laplace nugget added to random scale-mixture processes for spatial extremes produces a censored likelihood that factors into closed-form univariate densities while preserving the original extremal dependence structure.