Biomedical Engineering Reference
In-Depth Information
References
1. S.S. Nagarajan, H.T. Attias, K.E. Hild, K. Sekihara, A probabilistic algorithm for robust inter-
ference suppression in bioelectromagnetic sensor data. Stat. Med.
26
, 3886-3910 (2007)
2. J.M. Zumer, H.T. Attias, K. Sekihara, S.S. Nagarajan, A probabilistic algorithm integrating
source localization and noise suppression for MEG and EEG data. NeuroImage
37
, 102-115
(2007)
3. H. Attias, Inferring parameters and structure of latent variable models by variational bayes,
in
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence
, (Morgan
Kaufmann Publishers Inc, 1999), pp. 21-30
4. A.P. Dempster, N.M. Laird, D.B. Rubin, Maximum likelihood from incomplete data via the EM
algorithm. J. R. Stat. Soc. Ser. B (Methodological)
39
, 1-38 (1977)
5. R.H. Shumway, D.S. Stoffer, An approach to time series smoothing and forecasting using the
EM algorithm. J. Time Ser. Anal.
3
, 253-263 (1982)
6. H.T. Attias, A variational Bayesian framework for graphical models, in
Advances in Neural
Information Processing
(MIT Press, Cambridge, 2000), pp. 209-215
