Publications about 'Variational'

Articles in journal or book chapters

1. K.J. Friston, J. Mattout, N. Trujillo-Bareto, J. Ashburner, and W.D. Penny. Variational free energy and the Laplace approximation. NeuroImage, 34(1):220-234, 2007. [bibtex-entry]



2. K.Friston, J. Mattout, N. Trujillo-Barreto, J. Ashburner, and W. Penny. Variational free energy and the Laplace approximation. Neuroimage, 34(1):220-234, 2007. Keyword(s): Bayes. [bibtex-entry]



3. 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]



4. 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]



5. 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]



6. 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]



7. S.J. Roberts and W.D. Penny. Variational Bayes for Generalised Autoregressive models. IEEE Transactions on Signal Processing, 50(9):2245-2257, 2002. Keyword(s): Variational, EEG, Autoregressive, Mixture. [bibtex-entry]



8. S.J. Roberts W.D. Penny and R. Everson. ICA: Model-order selection and dynamic source models. In S.J. Roberts and R. Everson, editors, ICA: Principles and Practice, pages 299-314. Cambridge University Press, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]

Conference articles

1. 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]



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



3. W.D. Penny R. Choudrey and S.J. Roberts. An Ensemble Learning Approach to Independent Component Analysis. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



4. R. Everson W.D. Penny and S.J. Roberts. Hidden Markov Independent Components for Biosignal Analysis. In Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing, IEE, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



5. 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. Kullback-Liebler Divergences of Normal, Gamma, Dirichlet and Wishart Densities. Technical report, Wellcome Department of Cognitive Neurology, 2001. Keyword(s): Variational. [bibtex-entry]



2. W.D. Penny. Variational Bayes for d-dimensional Gaussian mixture models. Technical report, Wellcome Department of Cognitive Neurology, University College London, 2001. Keyword(s): Variational, Mixture. [bibtex-entry]



3. W.D. Penny and S.J. Roberts. Notes on Variational Learning. Technical report, Department of Engineering Science, Oxford University, 2001. Keyword(s): Variational. [bibtex-entry]



4. W.D. Penny and S.J. Roberts. Variational Bayes for 1-dimensional mixture models. Technical report, Department of Engineering Science, Oxford University, 2000. Keyword(s): Variational, Mixture. [bibtex-entry]

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