92 citations · 498 across the 46 of their papers we have counts for
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Efficient Modeling of Spatial Extremes over Large Geographical Domains
Arnab Hazra, Raphaël Huser, David Bolin
Various natural phenomena exhibit spatial extremal dependence at short spatial distances. However, existing models proposed in the spatial extremes literature often assume that ext…
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
Finn Lindgren, David Bolin, Håvard Rue
Gaussian processes and random fields have a long history, covering multiple approaches to representing spatial and spatio-temporal dependence structures, such as covariance functio…
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin, Jonas Wallin
Methods for inference and simulation of linearly constrained Gaussian Markov Random Fields (GMRF) are computationally prohibitive when the number of constraints is large. In some c…
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
Daniel Spencer, Yu, Yue +3
The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or…
Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractional-order covariance operators
David Bolin, Kristin Kirchner
We consider Gaussian measures on a separable Hilbert space, with fractional-order covariance operators resp. , and derive necessary an…