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Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference., , , and . IEEE Trans. Medical Imaging, 23 (8): 959-967 (2004)Inferring the finest pattern of mutual independence from data., and . CoRR, (2023)Automated Extraction of Mutual Independence Patterns Using Bayesian Comparison of Partition Models., and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (7): 2299-2313 (2021)Identification of A Large-Scale Functional Network In Functional Magnetic Resonance Imaging., , , , , , , and . ISBI, page 848-851. IEEE, (2004)Automated extraction of mutual independence patterns using Bayesian comparison of partition models., and . CoRR, (2020)Combining Spatial Independent Component Analysis with Regression to Identify the Subcortical Components of Resting-State fMRI Functional Networks., , , , , , , , , and . Brain Connect., 4 (3): 181-192 (2014)Estimating the concentration parameter of a von Mises distribution: a systematic simulation benchmark., and . Commun. Stat. Simul. Comput., 53 (1): 117-129 (January 2024)Conditional correlation as a measure of mediated interactivity in fMRI and MEG/EEG., , , , and . IEEE Trans. Signal Process., 53 (9): 3503-3516 (2005)Identification of functional cortico-subcortical networks in resting-state FMRI: a combined NEDICA and GLM analysis., , , , , and . ISBI, page 1169-1172. IEEE, (2010)Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach., , , , , , , , and . IEEE Trans. Signal Process., 53 (9): 3461-3472 (2005)