A Wavelet-Based Bayesian Approach to Regression Models with Long Memory Errors and Its Application to fMRI Data

Biometrics

Volumn 69, Issue 1, 2013, Pages 184-196

  Jeong, Jaesik ^a   Vannucci, Marina ^b   Ko, Kyungduk ^c  

^a INDIANA UNIVERSITY   (United States)

^b Rice University   (United States)

^c BOISE STATE UNIVERSITY   (United States)

Author keywords

Bayesian inference; FMRI Data; Long memory errors; Regression models; Wavelets

Indexed keywords

BAYESIAN NETWORKS; COVARIANCE MATRIX; ECONOMICS; ERRORS; INFERENCE ENGINES; MEDICAL IMAGING; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

BAYESIAN APPROACHES; BAYESIAN INFERENCE; FMRI DATA; LONG MEMORY; LONG MEMORY ERROR; MEMORY ERROR; MODELING PARAMETERS; REGRESSION MODELLING; WAVELET;

DISCRETE WAVELET TRANSFORMS;

BAYESIAN ANALYSIS; COVARIANCE ANALYSIS; ERROR ANALYSIS; MEMORY; PROBABILITY; REGRESSION ANALYSIS; VARIANCE ANALYSIS; WAVELET ANALYSIS;

ARTICLE; BAYES THEOREM; BRAIN MAPPING; COMPUTER SIMULATION; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL;

BAYES THEOREM; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING;

EID: 84875939607     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2012.01819.x     Document Type: Article

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