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stat.ME2026
On Asymptotic Outlier Rejection in Bayesian Mixed Poisson Regression Models Under Extreme Target and Covariate Values
Ilaria Pia, Jarno Vanhatalo
Bayesian models are defined to be fully robust against outliers if observations infinitely far from the other data do not influence the posterior. In regression models, this entail…
stat.ME2024
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
Karel Kaurila, Risto Lignell, Frede Thingstad +2
Nutrient load simulators are large, deterministic, models that simulate the hydrodynamics and biogeochemical processes in aquatic ecosystems. They are central tools for planning co…