Books

K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006.

  • W. Penny, G. Flandin, and N. Trujillo-Barreto. Spatio-temporal models for fMRI. 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. PDF


  • W. Penny and L. Harrison. Multivariate autoregressive 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. PDF


  • W. Penny and R. Henson. Analysis of Variance. 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. PDF


  • 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. PDF


  • W. Penny and A. Holmes. Random effects analysis. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 20006. PDF


  • 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. PDF


  • 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. PDF


  • W. Penny, N. Trujillo-Barreto, and E. Aubert. Spatio-temporal models for EEG. 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. PDF

R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny. Human Brain Function. Academic Press, 2nd edition, 2003.

  • M. Brett, W.D. Penny, and S.J. Kiebel. Introduction to Random field theory. 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.


  • 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.


All chapters from this book are available from the SPM Website

Book Chapters


  • W. Penny (2015). Bayesian models in Neuroscience. International Encyclopedia of Social and Behavioural Sciences , Article ID 56035, Elsevier, 2015. PDF


  • W. Penny (2014). Imaging Analysis, Bayesian. Encyclopedia of Computational Neuroscience, DOI 10.1007/978-1-4614-7320-6, Springer, 2014. PDF


  • W.D. Penny and K.J. Friston. Classical and Bayesian Inference in fMRI. In L. Landini, editor, Advanced Image Processing in Magnetic Resonance Imaging. Marcel Dekker, 2004.


  • 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. PDF


  • R. Everson W.D. Penny and S.J. Roberts. Hidden Markov Independent Component Analysis. In M. Giroliami, editor, Advances in Independent Component Analysis. Springer, 2000.


  • 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.


  • W.D. Penny and D. Frost. Modelling psychiatric decisions with linear regression and neural networks. In J. Taylor, editor, Neural Networks and Their Applications. John Wiley, 1996