New expert-informed Bayesian priors and elicitation procedure for inferring single-subject functional connectivity graphs from resting-state fMRI, yielding posterior distributions over edge weights.
Statistics and Computing , volume=
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MIRA is a new analytic score for conditional distribution accuracy derived from equal probability mass assignment, enabling Bayesian model comparison via direct posterior validation.
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Prior elicitation for Bayesian estimation of single-subject connectivity networks
New expert-informed Bayesian priors and elicitation procedure for inferring single-subject functional connectivity graphs from resting-state fMRI, yielding posterior distributions over edge weights.
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MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
MIRA is a new analytic score for conditional distribution accuracy derived from equal probability mass assignment, enabling Bayesian model comparison via direct posterior validation.