92 citations · 498 across the 46 of their papers we have counts for
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stat.ME2020★ 2 cited
A spatial template independent component analysis model for subject-level brain network estimation and inference
Amanda F. Mejia, David Bolin, Yu Ryan Yue +3
Independent component analysis is commonly applied to functional magnetic resonance imaging (fMRI) data to extract independent components (ICs) representing functional brain networ…
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…
math.ST2020★ 12 cited
Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces
Kristin Kirchner, David Bolin
Optimal linear prediction (aka. kriging) of a random field indexed by a compact metric space can be obtained if the mea…