Spatial 3D Matérn priors for fast whole-brain fMRI analysis
From MaRDI portal
Publication:6117931
DOI10.1214/21-ba1283arXiv1906.10591OpenAlexW3186608385MaRDI QIDQ6117931
Mattias Villani, David Bolin, Finn Lindgren, Per Sidén, Anders Eklund
Publication date: 21 February 2024
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1906.10591
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- The Rational SPDE Approach for Gaussian Random Fields With General Smoothness
- Approximate Bayesian inference for hierarchical Gaussian Markov random field models
- Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data
- The statistical analysis of fMRI data
- Interpolation of spatial data. Some theory for kriging
- Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)
- Penalising model component complexity: a principled, practical approach to constructing priors
- Latent Gaussian random field mixture models
- A case study competition among methods for analyzing large spatial data
- Stochastic simulation: Algorithms and analysis
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging
- Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
- Efficient Covariance Approximations for Large Sparse Precision Matrices
- Gaussian Markov Random Fields
- A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
- Constructing Priors that Penalize the Complexity of Gaussian Random Fields
- Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Excursion and Contour Uncertainty Regions for Latent Gaussian Models
- A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
- A Stochastic Approximation Method
- ON STATIONARY PROCESSES IN THE PLANE
This page was built for publication: Spatial 3D Matérn priors for fast whole-brain fMRI analysis
