Publications

McGree, J. et al. (2016) “Big data and design of experiments”, in Computational and Statistical Methods for Analysing Big Data with Applications, pp. 111–129.

Daly, A. et al. (2015) “Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods”, Royal Society Open Science, 2(12), p. Article number: 150499.

Nouvellet, P. et al. (2015) “The role of rapid diagnostics in managing Ebola epidemics”, Nature, 528(7580), pp. s109 - s116.

Stiphout, R. et al. (2015) “Abstract B1-56: Distinct roles of copy number and loss-of-heterozygosity in predicting prognosis for breast cancer patients”, in Cancer Research. American Association for Cancer Research (AACR), pp. b1–56.

Winskill, P. et al. (2015) “Dispersal of Engineered Male Aedes aegypti Mosquitoes”, PLOS Neglected Tropical Diseases, 9(11), p. e0004156.

James, L., Orbanz, P. and Teh, Y. (2015) “Scaled subordinators and generalizations of the Indian buffet process.”

Rebeschini, P. and van Handel, R. (2015) “Can local particle filters beat the curse of dimensionality?”, The Annals of Applied Probability, 25(5), pp. 2809–2866.

Garske, T. et al. (2015) “INFERRING THE YELLOW FEVER FORCE OF INFECTION FROM THE OBSERVED AGE DISTRIBUTION OF CONFIRMED CASES”, in AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE. AMER SOC TROP MED & HYGIENE, pp. 441–441.

Donnelly, C. and Woodroffe, R. (2015) “Badger-cull targets unlikely to reduce TB”, Nature, 526(7575), pp. 640–640.

Donnelly, C. et al. (2015) “Exploration of the power of routine surveillance data to assess the impacts of industry‐led badger culling on bovine tuberculosis incidence in cattle herds”, Veterinary Record, 177(16), pp. 417–417.