5 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ME2023★ 5 cited
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…
stat.ME2023
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.ME2021★ 3 cited
A multivariate Gaussian random field prior against spatial confounding
Isa Marques, Thomas Kneib, Nadja Klein
Spatial models are used in a variety research areas, such as environmental sciences, epidemiology, or physics. A common phenomenon in many spatial regression models is spatial conf…