35 citations · 90 across the 12 of their papers we have counts for
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stat.AP2020★ 27 cited
A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA
Chiara Forlani, Samir Bhatt, Michela Cameletti +2
In air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain, and are then calibrated against measurements from m…
stat.ME2020★ 9 cited
A diffusion-based spatio-temporal extension of Gaussian Matérn fields
Finn Lindgren, Haakon Bakka, David Bolin +2
Gaussian random fields with Matérn covariance functions are popular models in spatial statistics and machine learning. In this work, we develop a spatio-temporal extension of the G…