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Online course materials (2011 archive)

Lecture slides (2010 Archive)

(will be posted after each lecture)

Problem sheet solutions

Other resources:

List of potential papers for presentation:

  1. Statistical inference for noisy nonlinear ecological dynamic systems. SN Wood, Nature, 2010
  2. The spread of obesity in a large social network over 32 years. NA Christakis and JH Fowler, New England Journal of Medicine, 2007
  3. Nonlinear dimensionality reduction by locally linear embedding. ST Roweis, LK Saul, Science, 2000
  4. A Bayesian approach to filtering junk e-mail. M. Sahami et al., Learning for Text Categorization, 1998
  5. Regression shrinkage and selection via the lasso. R Tibshirani, Journal of the Royal Statistical Society. Series B, 1996
  6. Bayesian integration in sensorimotor learning. KP Körding and DM Wolpert, Nature, 2004
  7. A Bayesian approach to unsupervised one-shot learning of object categories. L Fei-Fei, R Fergus, P Perona, Ninth IEEE International Conference on Computer Vision (ICCV'03), 2003
  8. Learning Object Categories from Google's Image Search. R Fergus, L Fei-Fei, P Perona, A Zisserman, Tenth IEEE International Conference on Computer Vision (ICCV'05), 2005
  9. Bayesian ranking of biochemical system models. V Vyshemirsky and MA Girolami, Bioinformatics, 2008
  10. Phylogenetic inference using whole genomes. B Rannala and Z Yang, Annual Review of Genomics and Human Genetics, 2008
  11. Greenhouse-gas emission targets for limiting global warming to 2 C M Meinshausen et al. Nature, 2009
  12. Causal protein-signaling networks derived from multiparameter single-cell data. K Sachs et al., Science, 2005
  13. Sample selection bias as a specification error. JJ Heckman, Econometrica, 1979