Combined spatial and non-spatial prior for inference on MRI time-series.
When modelling FMRI and other MRI time-series data, a Bayesian approach based on adaptive spatial smoothness priors is a compelling alternative to using a standard generalized linear model (GLM) on presmoothed data. Another benefit of the Bayesian approach is that biophysical prior information can b...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2009
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