A Bayesian Time-Course Model for Functional Magnetic Resonance Imaging Data - Genovese, Christopher R. (Journal of the American Statistical Association, 2000)
Keywords: Applications; Applications and Case Studies; Bayesian inference; Bayesian method; Biological and medical sciences; Cognition; Exact sciences and technology; Functional neuroimaging; Hierarchical models; Hierarchy; Image analysis; Induced substructures; Investigative techniques, diagnostic techniques (general aspects); Linear inference, regression; Magnetic resonance; Magnetic resonance imaging; Mathematics; Medical sciences; Miscellaneous. Technology; Modeling; Non-linear models; Parametric inference; Parametric models; Perceptual localization; Probability and statistics; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Sciences and techniques of general use; Signal noise; Statistics; Time series; Working memory; Dynamic response; Validation; Monte Carlo method; Autoregression; Moving average; Magnetic resonance; Gibbs sampling; Variance analysis; Nuclear magnetic resonance imaging; Spline; Markov chain; Random field; Neurology; Randomization; Cholesky method; Imaging; Tomography; Functional magnetic resonance imaging; Hierarchical model; Bayes methods; Functional imagingN