11 citations · 16 across the 9 of their papers we have counts for
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stat.ME2023★ 5 cited
Bayesian nonparametric generative modeling of large multivariate non-Gaussian spatial fields
Paul F. V. Wiemann, Matthias Katzfuss
Multivariate spatial fields are of interest in many applications, including climate model emulation. Not only can the marginal spatial fields be subject to nonstationarity, but the…
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…