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Air pollution is a serious issue that currently affects many industrial cities in the world and can cause severe illness to the population. In particular, it has been proven that extreme high levels of airborne contaminants have dangerous short‐term effects on human health, in terms of increased hospital admissions for cardiovascular and respiratory diseases and increased mortality risk. For these...
As drought is among the natural hazards which affect people and economies world wide and often results in huge monetary losses, sophisticated methods for drought monitoring and decision making are needed. Many approaches to quantify drought severity have been developed during recent decades. However, most of these drought indices suffer from different shortcomings, account only for one or two driving...
The analysis of car crash output parameters such as firewall intrusion points assist the overall engineering process. Such data are nowadays collected from many numerical simulations and it is not possible for the engineer to analyse this growing amount of data by hand. Therefore, data mining and statistical methods are needed. Here, we propose to use the flexible class of regular vine (R‐vine) copulas...
We study the application of Bayesian spatial modelling to seismic tomography, a geophysical, high dimensional, linearized inverse problem that infers the three‐dimensional structure of the Earth's interior. We develop a spatial dependence model of seismic wave velocity variations in the Earth's mantle based on a Gaussian Matérn field approximation. Using the theory of stochastic partial differential...
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