Introduces standardised tail plots and normalised residual plots for extreme value regression models, claiming sample-size-independent uncertainty bounds for global and regional goodness-of-fit assessment.
arXiv preprint arXiv:2505.02957 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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The deep SPAR model shows concurrent floods and droughts becoming more likely in the Upper Danube by 2100 under high emissions, with changes in the dependence between catchments contributing substantially to the increase.
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Diagnostic Tools for Extreme Value Regression Models
Introduces standardised tail plots and normalised residual plots for extreme value regression models, claiming sample-size-independent uncertainty bounds for global and regional goodness-of-fit assessment.
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Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
The deep SPAR model shows concurrent floods and droughts becoming more likely in the Upper Danube by 2100 under high emissions, with changes in the dependence between catchments contributing substantially to the increase.