Application of Bayesian inference to fMRI data analysis

The methods of Bayesian statistics are applied to the analysis of fMRI data, Three specific models are examined. The first is the familiar linear model with white Gaussian noise. In this section, the Jeffreys' Rule for noninformative prior distributions is stated and it is shown how the posteri...

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Veröffentlicht in:	IEEE transactions on medical imaging 1999-12, Vol.18 (12), p.1138-1153
Hauptverfasser:	Kershaw, J., Ardekani, B.A., Kanno, I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian methods Biological and medical sciences Blood flow Blood vessels Brain Brain - anatomy & histology Brain - physiology Correlation methods Data analysis Delay Gaussian noise Humans Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging Mathematical models Medical sciences Models, Statistical Motor Cortex - anatomy & histology Motor Cortex - pathology Nervous system Radiodiagnosis. Nmr imagery. Nmr spectrometry Regression analysis Statistical analysis Time series analysis White noise
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