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High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models.

, , , , , , and . IPMI, volume 4584 of Lecture Notes in Computer Science, page 482-494. Springer, (2007)

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Increased sensitivity in FMRI group analysis using mixed-effect modeling., and . ISBI, page 548-551. IEEE, (2008)High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models., , , , , , and . IPMI, volume 4584 of Lecture Notes in Computer Science, page 482-494. Springer, (2007)Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis., , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 450-457. Springer, (2009)Optimization of Quasi-convex Function over Product Measure Sets., , and . SIAM J. Optim., 31 (1): 425-447 (2021)Adaptive Numerical Designs for the Calibration of Computer Codes., , , , and . SIAM/ASA J. Uncertain. Quantification, 6 (1): 151-179 (2018)Canonical Moments for Optimal Uncertainty Quantification on a Variety., , , and . GSI, volume 11712 of Lecture Notes in Computer Science, page 571-578. Springer, (2019)