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Publications about 'Bayesian'

Articles in journal or book chapters

  1. K H Brodersen, W D Penny, L M Harrison, J Daunizeau, C C Ruff, E Duzel, K J Friston, and K E Stephan. Integrated Bayesian models of learning and decision making for saccadic eye movements.. Neural Netw, 21(9):1247-60, 2008. [bibtex-entry]


  2. K Friston, C Chu, J Mourao-Miranda, O Hulme, G Rees, W Penny, and J Ashburner. Bayesian decoding of brain images.. Neuroimage, 39(1):181-205, 2008. [bibtex-entry]


  3. K.J. Friston, C. Chu, Janaina Mourão-Miranda, Oliver Hulme, G. Rees, W.D. Penny, and J. Ashburner. Bayesian decoding of brain images. NeuroImage, 39(1):181-205, 2008. Keyword(s): Bayesian. [bibtex-entry]


  4. L. Harrison, W.D. Penny, J. Daunizeau, and K.J. Friston. Diffusion-based spatial priors for functional magnetic resonance images. NeuroImage, 41(2):408-423, 2008. Keyword(s): fMRI, spatial, bayesian. [bibtex-entry]


  5. N Trujillo-Barreto, E Aubert-Vazquez, and W Penny. Bayesian M/EEG source reconstruction with spatio-temporal priors.. Neuroimage, 39(1):318-35, 2008. Keyword(s): EEG. [bibtex-entry]


  6. G. Flandin and W.D. Penny. Bayesian fMRI data analysis with sparse spatial basis function priors. NeuroImage, 34(3):1108-1125, 2007. Keyword(s): PPM, Bayesian, fMRI, GLM, spatial, hierarchical. [bibtex-entry]


  7. W. D. Penny, G. Flandin, and N. Trujillo-Barreto. Bayesian comparison of spatially regularised general linear models. Human Brain Mapping, 28(4):275-293, 2007. Keyword(s): fMRI, GLM. [bibtex-entry]


  8. W. D. Penny, J. Kilner, and F. Blankenburg. Robust Bayesian General Linear Models. Neuroimage, 36(3):661-671, 2007. Keyword(s): fMRI, GLM. [bibtex-entry]


  9. W.D. Penny, J. Kilner, and F. Blankenburg. Robust Bayesian General Linear Models. NeuroImage, 36(3):661-671, 2007. Keyword(s): GLM. [bibtex-entry]


  10. W.D. Penny and K. J. Friston. Bayesian Treatments of Neuroimaging Data. In K. Doya and I. Naguno, editors, The Bayesian Brain. 2006. Keyword(s): fMRI, Dynamic. [bibtex-entry]


  11. W. Penny and R. Henson. Hierarchical Models. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Hierarchical, Bayesian. [bibtex-entry]


  12. W. Penny, S. Kiebel, and K. Friston. Variational Bayes. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Variational, Bayesian. [bibtex-entry]


  13. W. Penny, J. Mattout, and N. Trujillo-Barreto. Bayesian model selection and averaging. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Bayesian, BMC, EEG. [bibtex-entry]


  14. J. Mattout, C. Phillips, W.D. Penny, M. Rugg, and K.J. Friston. MEG source localization under multiple constraints: an extended Bayesian framework. NeuroImage, 30(3):753-767, 2006. Keyword(s): EEG, MEG. [bibtex-entry]


  15. W.D. Penny, G. Flandin, and N. Trujillo-Bareto. Bayesian Comparison of Spatially Regularised General Linear Models. Human Brain Mapping, 28:275-293, 2005. Keyword(s): Bayesian, fMRI, PPM, GLM. [bibtex-entry]


  16. W.D. Penny, N. Trujillo-Bareto, and K.J. Friston. Bayesian fMRI time series analysis with spatial priors. NeuroImage, 24(2):350-362, 2005. Keyword(s): Spatial, fMRI. [bibtex-entry]


  17. W.D. Penny and K.J. Friston. Classical and Bayesian Iinference in fMRI. In L. Landini, editor, Advanced Image Processing in Magnetic Resonance Imaging. Marcel Dekker, 2004. Keyword(s): introduction. [bibtex-entry]


  18. W.D. Penny, K.E. Stephan, A. Mechelli, and K.J. Friston. Comparing Dynamic Causal Models. NeuroImage, 22(3):1157-1172, 2004. Keyword(s): Bayesian, connectivity, fMRI, DCM, BMC. [bibtex-entry]


  19. W.D. Penny and K.J. Friston. Classical and Bayesian inference. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): Bayesian, fMRI, hierarchical, nonsphericity, PPM, REML. [bibtex-entry]


  20. W.D. Penny, A.P. Holmes, and K.J. Friston. Hierarchical Models. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): Bayesian, GLM, group, introduction, RFX, hierarchical. [bibtex-entry]


  21. K.J. Friston and W.D. Penny. Posterior probability maps and SPMs. NeuroImage, 19(3):1240-1249, 2003. Keyword(s): Bayesian, hierarchical, PPM, EM. [bibtex-entry]


  22. W.D. Penny and K.J. Friston. Mixtures of General Linear Models for Functional Neuroimaging. IEEE Transactions on Medical Imaging, 22(4):504-514, 2003. Keyword(s): Mixture, GLM, Bayesian, fMRI, spatial, EM. [bibtex-entry]


  23. W.D. Penny, S.J. Kiebel, and K.J. Friston. Variational Bayesian Inference for fMRI time series. NeuroImage, 19(3):727-741, 2003. Keyword(s): autocorrelation, Bayesian, fMRI, PPM. [bibtex-entry]


  24. M.J. Cassidy and W.Penny. Bayesian nonstationary autogregressive models for biomedical signal analysis. IEEE Transactions on Biomedical Engineering, 49(10):1142-1152, 2002. Keyword(s): Variational, EEG, Autoregressive, Dynamic. [bibtex-entry]


  25. K.J. Friston, W.D. Penny, C. Phillips, S.J. Kiebel, G. Hinton, and J. Ashburner. Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage, 16:465-483, 2002. Keyword(s): Bayesian, PPM, EM, REML. [bibtex-entry]


  26. W.D. Penny and S.J. Roberts. Bayesian Multivariate Autoregresive Models with structured priors. IEE Proceedings on Vision, Image and Signal Processing, 149(1):33-41, 2002. Keyword(s): Variational, EEG, Autoregressive. [bibtex-entry]


  27. S.J. Roberts and W.D. Penny. Real-Time Brain-Computer Interfacing: A Preliminary Study Using Bayesian Learning. Medical and Biological Engineering and Computing, 38(1):56-61, 2000. Keyword(s): BCI, EEG. [bibtex-entry]


  28. D. Husmeier W.D. Penny and S.J. Roberts. The Bayesian Paradigm: second generation neural computing. In P. Lisboa, editor, Artificial Neural Networks in Biomedicine. Springer-Verlag, 1999. Keyword(s): ANN. [bibtex-entry]


  29. D. Husmeier, W.D. Penny, and S.J. Roberts. An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks, 12:677-705, 1999. Keyword(s): ANN. [bibtex-entry]


  30. W.D. Penny and S.J. Roberts. Bayesian neural networks for classification: how useful is the evidence framework ?. Neural Networks, 12:877-892, 1998. Keyword(s): ANN, BMC. [bibtex-entry]


  31. S. J. Roberts, D. Husmeier, W. Penny, and I. Rezek. Bayesian Approaches to Gaussian Mixture Modelling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1133-1142, 1998. Keyword(s): Mixture, BMC. [bibtex-entry]


Conference articles

  1. W.D. Penny and G. Flandin. Bayesian analysis of fMRI data with spatial priors. In Proceedings of the Joint Statistical Meeting (JSM), Section on Statistical Graphics [CDROM], 2005. Note: Alexandria, VA: American Statistical Association. Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]


  2. K.J. Friston and W.D. Penny. Bayesian Inference and Posterior Probability Maps. In Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), pages 413-417, 2002. Keyword(s): PPM. [bibtex-entry]


  3. W.D. Penny and S.J. Roberts. Bayesian Methods for Autoregressive Models. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, Autoregressive. [bibtex-entry]


  4. W.D. Penny D. Husmeier and S.J. Roberts. Empirical Evaluation of Bayesian Sampling for Neural Classifiers. In M.Boden L.Niklason and T.Ziemke, editors, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, 1998. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]


Internal reports

  1. W.D. Penny and G. Flandin. Bayesian analysis of single-subject fMRI: SPM implementation. Technical report, Wellcome Department of Imaging Neuroscience, 2005. Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]


  2. W.D. Penny and S.J. Roberts. Bayesian neural networks for detection of imagined finger movements from single-trial EEG. Technical report, Department of Electrical Engineering, Imperial College, London, 1997. Keyword(s): BCI, EEG. [bibtex-entry]



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Last modified: Tue Feb 17 16:23:57 2009
Author: wpenny.

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