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FMRI analysis through bayesian variable selection with a spatial prior
Jing Xia
,
Feng Liang
,
Yongmei Michelle Wang
Statistics
Information Trust Institute
Psychology
Center for Global Studies
College of Liberal Arts and Sciences
Biomedical and Translational Sciences
Research output
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Keyphrases
Spatial Prior
100%
Activation Detection
100%
Bayesian Variable Selection
100%
FMRI Analysis
100%
Functional Magnetic Resonance Imaging
50%
Hemodynamic Response
50%
Detector Response
50%
Selection Strategy
50%
Unified Framework
50%
Sparsity
50%
Latent Variables
50%
Functional Activation
50%
Robustness to Noise
50%
Bayesian Methods
50%
Model Misspecification
50%
Response Function Estimation
50%
Markov Chain Monte Carlo
50%
Hemodynamic Response Function
50%
Information Pooling
50%
Detection-estimation
50%
HRF Estimation
50%
Response Components
50%
Monte Carlo Scheme
50%
Activation Map
50%
Simultaneous Activation
50%
Posterior Inference
50%
Mathematics
Voxel
100%
Bayesian Variable Selection
100%
Bayesian
50%
Magnetic Resonance Imaging
50%
Response Function
50%
Model Misspecification
50%
Markov Chain Monte Carlo
50%
Engineering
Response Function
100%
Sparsity
100%