Bayesian Inference on the Brain: Bayesian Solutions to Selected Problems in Neuroimaging

This chapter summarizes certain recent advances in inferential procedures for brain imaging. These advances involve the use of computationally intensive procedures. A goal of this chapter is to demonstrate that although the computational cost of these methods can be significant, it is feasible to emp...

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Bibliographic Details
Published inCurrent Trends in Bayesian Methodology with Applications pp. 41 - 76
Format Book Chapter
LanguageEnglish
Published United Kingdom Chapman and Hall/CRC 2015
CRC Press LLC
Subjects
BIOLOGY, LIFE SCIENCES
Probability & statistics
Nuclear Magnetic Resonance
Distributed Source Models
Posterior Distribution
fMRI Time Series
Random Walk Model
Pet Camera
SMC
Structural Mri
HMM
Neural Currents
Current Dipole Models
Time Activity Function
SMC Algorithm
Current Dipoles
SMC Approximation
Linear Compartmental Models
Importance Sampling
Compartmental Models
SMC Sampler
Tensor Mri
Posterior Density
SMC Method
Sir
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ISBN1482235110
9781482235111
DOI10.1201/b18502-8

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Summary:This chapter summarizes certain recent advances in inferential procedures for brain imaging. These advances involve the use of computationally intensive procedures. A goal of this chapter is to demonstrate that although the computational cost of these methods can be significant, it is feasible to employ them, using commodity-grade hardware, to provide Bayesian solutions to problems of realistic complexity in this domain.
ISBN:1482235110
9781482235111
DOI:10.1201/b18502-8