
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
The general linear model (GLM) is a popular and convenient tool for esti...
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Efficient methods for Gaussian Markov random fields under sparse linear constraints
Methods for inference and simulation of linearly constrained Gaussian Ma...
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Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractionalorder covariance operators
We consider Gaussian measures μ, μ̃ on a separable Hilbert space, with f...
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The diffusionbased extension of the Matérn field to spacetime
The Matérn field is the most well known family of covariance functions u...
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A spatial template independent component analysis model for subjectlevel brain network estimation and inference
ICA is commonly applied to fMRI data to extract independent components (...
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Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces
Optimal linear prediction (also known as kriging) of a random field {Z(x...
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Scale invariant proper scoring rules Scale dependence: Why the average CRPS often is inappropriate for ranking probabilistic forecasts
Averages of proper scoring rules are often used to rank probabilistic fo...
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Spatial 3D Matérn priors for fast wholebrain fMRI analysis
Bayesian wholebrain functional magnetic resonance imaging (fMRI) analys...
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Joint spatial modeling of significant wave height and wave period using the SPDE approach
The ocean wave distribution in a specific region of space and time is de...
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Spatial modeling of significant wave height using stochastic partial differential equations
The general condition of the ocean surface at a certain location in spac...
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Linear MixedEffects Models for NonGaussian Repeated Measurement Data
We consider the analysis of continuous repeated measurement outcomes tha...
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Spatial modelling with RINLA: A review
Coming up with Bayesian models for spatial data is easy, but performing ...
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Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white noise
The numerical approximation of the solution u to a stochastic partial di...
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The SPDE approach for Gaussian random fields with general smoothness
A popular approach for modeling and inference in spatial statistics is t...
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Wholebrain substitute CT generation using Markov random field mixture models
Computed tomography (CT) equivalent information is needed for attenuatio...
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David Bolin
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