Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)

DOI10.1214/18-BA1108zbMath1407.62072WikidataQ129869845 ScholiaQ129869845MaRDI QIDQ1631610

Y. Aharonov

Publication date: 6 December 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1525766415

zbMATH Keywords

MCMCfMRIBayesian variable selectionspatiotemporalareal model

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Bayesian inference (62F15) Applications of statistics to physics (62P35)

Related Items (6)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging ⋮ The node-wise pseudo-marginal method: model selection with spatial dependence on latent graphs ⋮ Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach ⋮ Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions ⋮ Spatial 3D Matérn priors for fast whole-brain fMRI analysis ⋮ Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis

Uses Software

• mcmcse
• spBayes
• PMTK
• FMRISTAT

Cites Work

• A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
• Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data
• Markov chain Monte Carlo: can we trust the third significant figure?
• The statistical analysis of fMRI data
• The statistical analysis of functional MRI data
• Nonparametric regression using Bayesian variable selection
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging
• Fixed-Width Output Analysis for Markov Chain Monte Carlo
• Statistics for Spatial Data
• Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
• Detecting activation in fMRI data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)