2 papers
stat.ME2025
Bayesian spatial+: A joint model perspective
Isa Marques, Paul F. V. Wiemann
Spatial confounding is a common issue in spatial regression models, occurring when spatially varying covariates correlate with the spatial effect included in the model. This depend…
stat.ME2025
Demystifying Spatial Confounding
Emiko Dupont, Isa Marques, Thomas Kneib
Spatial confounding is a fundamental issue in spatial regression models which arises because spatial random effects, included to approximate unmeasured spatial variation, are typic…