3 papers
stat.ME2026
Which modelling choices shape your interpolation map? An Optimal Transport sensitivity analysis for groundwater sulfate concentration
Corinna Perchtold, Jérémy Rohmer, Augustin Thomas +1
Spatial prediction maps are crucial for environmental management yet highly sensitive to subjective modelling choices such as, e.g., covariates, spatial dependence structures, or m…
stat.AP2025
A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data
Corinna Perchtold, Julia Eisenberg, Philipp Otto
In this study, we introduce a novel and comprehensive extension of a Bayesian spatio-temporal disease mapping model that explicitly accounts for gender-specific effects of meteorol…
stat.ME2024
Climate Change in Austria: Precipitation and Dry Spells over the last 60 years
Corinna Perchtold
This study unveils localised changes in Austria's precipitation patterns, often missed by broader assessments, by comparing the 1961-1990 and 1991-2020 climate normal periods on a…