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685 results

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Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.

Nummenmaa A, Auranen T, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Sams M, Vehtari A. Nummenmaa A, et al. Neuroimage. 2007 Apr 1;35(2):669-85. doi: 10.1016/j.neuroimage.2006.05.001. Epub 2007 Feb 12. Neuroimage. 2007. PMID: 17300961

Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors.

Auranen T, Nummenmaa A, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Vehtari A, Sams M. Auranen T, et al. Neuroimage. 2005 Jul 1;26(3):870-84. doi: 10.1016/j.neuroimage.2005.02.046. Epub 2005 Apr 8. Neuroimage. 2005. PMID: 15955497

Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.

Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC. Jun SC, et al. Neuroimage. 2005 Oct 15;28(1):84-98. doi: 10.1016/j.neuroimage.2005.06.003. Epub 2005 Jul 15. Neuroimage. 2005. PMID: 16023866

A probabilistic solution to the MEG inverse problem via MCMC methods: the reversible jump and parallel tempering algorithms.

Bertrand C, Ohmi M, Suzuki R, Kado H. Bertrand C, et al. IEEE Trans Biomed Eng. 2001 May;48(5):533-42. doi: 10.1109/10.918592. IEEE Trans Biomed Eng. 2001. PMID: 11341527

MEG source localization under multiple constraints: an extended Bayesian framework.

Mattout J, Phillips C, Penny WD, Rugg MD, Friston KJ. Mattout J, et al. Neuroimage. 2006 Apr 15;30(3):753-67. doi: 10.1016/j.neuroimage.2005.10.037. Epub 2005 Dec 20. Neuroimage. 2006. PMID: 16368248

Hierarchical Bayesian estimation for MEG inverse problem.

Sato MA, Yoshioka T, Kajihara S, Toyama K, Goda N, Doya K, Kawato M. Sato MA, et al. Neuroimage. 2004 Nov;23(3):806-26. doi: 10.1016/j.neuroimage.2004.06.037. Neuroimage. 2004. PMID: 15528082

A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.

Fujiwara Y, Yamashita O, Kawawaki D, Doya K, Kawato M, Toyama K, Sato MA. Fujiwara Y, et al. Neuroimage. 2009 Apr 1;45(2):393-409. doi: 10.1016/j.neuroimage.2008.12.012. Epub 2008 Dec 25. Neuroimage. 2009. PMID: 19150653

Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.

Yoshioka T, Toyama K, Kawato M, Yamashita O, Nishina S, Yamagishi N, Sato MA. Yoshioka T, et al. Neuroimage. 2008 Oct 1;42(4):1397-413. doi: 10.1016/j.neuroimage.2008.06.013. Epub 2008 Jun 21. Neuroimage. 2008. PMID: 18620066

How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS.

Lambert PC, Sutton AJ, Burton PR, Abrams KR, Jones DR. Lambert PC, et al. Stat Med. 2005 Aug 15;24(15):2401-28. doi: 10.1002/sim.2112. Stat Med. 2005. PMID: 16015676

Phylogenetic MCMC algorithms are misleading on mixtures of trees.

Mossel E, Vigoda E. Mossel E, et al. Science. 2005 Sep 30;309(5744):2207-9. doi: 10.1126/science.1115493. Science. 2005. PMID: 16195459

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