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Publications

Kucharski, A. et al. (2014) “Distinguishing Between Reservoir Exposure and Human-to-Human Transmission for Emerging Pathogens Using Case Onset Data”, PLOS Currents, 6(Outbreaks), p. ecurrents.outbreaks.e1473d9bfc99d080ca242139a06c455f.
Blake, I. and Donnelly, C. (2014) “A Simple Incidence-Based Method to Avoid Misinterpretation of Bovine Tuberculosis Incidence Trends in Great Britain”, PLOS Currents, 6(Outbreaks), p. ecurrents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69.
Xu, M. et al. (2014) “Distributed Bayesian posterior sampling via moment sharing”, in Advances in Neural Information Processing Systems, pp. 3356–3364.
Mouradov, D. et al. (2013) “Survival in stage II/III colorectal cancer is independently predicted by chromosomal and microsatellite instability, but not by specific driver mutations”, The American Journal of Gastroenterology, 108(11), pp. 1785 – 1785.
Mouradov, D. et al. (2013) “Survival in stage II/III colorectal cancer is independently predicted by chromosomal and microsatellite instability, but not by specific driver mutations”, American Journal of Gastroenterology, 108(11), pp. 1785–1793.
Godfray, H. et al. (2013) “A restatement of the natural science evidence base relevant to the control of bovine tuberculosis in Great Britain†”, Proceedings of the Royal Society B, 280(1768), p. 20131634.
Wang, W. et al. (2013) “Integrative network-based Bayesian analysis of diverse genomics data”, BMC Bioinformatics, 14.
Yau, C. and Holmes, C. (2013) “A decision-theoretic approach for segmental classification”, The Annals of Applied Statistics, 7(3), pp. 1814–1835.
Rebeschini, P. and van Handel, R. (2013) “Comparison Theorems for Gibbs Measures”, arXiv.
Wills, Q. et al. (2013) “Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments”, Nature Biotechnology, 31(8), pp. 748–752.