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stat.AP2024
A bivariate spatial extreme mixture model for unreplicated heavy metal soil contamination
M. Daniela Cuba, Marian Scott, Benjamin P. Marchant +1
Geostatistical models for multivariate applications such as heavy metal soil contamination work under Gaussian assumptions and may result in underestimated extreme values and misle…
stat.ME2024
A Bayesian multivariate extreme value mixture model
Chenglei Hu, Ben Swallow, Daniela Castro-Camilo
Impact assessment of natural hazards requires the consideration of both extreme and non-extreme events. Extensive research has been conducted on the joint modeling of bulk and tail…