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stat.ME2026
Extrapolation of extreme covariates in generalized additive regression using extreme-value theory
Viviana Carcaiso, Sebastian Engelke, Juliette Legrand +1
Predictions with covariates in the tails of the covariate distribution often lack accuracy and are highly uncertain but may be of critical importance in many applications. New cova…
stat.AP2026
Bayesian spatial modelling framework for assessing residential flood risk in property insurance
Mulah Moriah, Franck Vermet, Pierre Ailliot +2
Spatial heterogeneity in insurance risk modelling is often represented using coarse areal structures, which can obscure fine-scale patterns critical for accurate risk assessment. T…
stat.AP2026
Contributions of geolocated weather and building related data for insurance assessment of flood risks
Mulah Moriah, Franck Vermet, Pierre Ailliot +2
Floods rank among the costliest natural hazards, causing over USD 100 billion in insured losses between 2013 and 2023. In France, persistent deficits in the natural catastrophe sch…