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Publications

Vial, F. et al. (2015) “Bovine Tuberculosis Risk Factors for British Herds Before and After the 2001 Foot‐and‐Mouth Epidemic: What have we Learned from the TB99 and CCS2005 Studies?”, Transboundary and Emerging Diseases, 62(5), pp. 505–515.
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.
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.
Donnelly, C. and Woodroffe, R. (2015) “Badger-cull targets unlikely to reduce TB”, Nature, 526(7575), pp. 640–640.
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.
Rebeschini, P. and Tatikonda, S. (2015) “Locality in Network Optimization”, arXiv.
Hrabě de Angelis, M. et al. (2015) “Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics”, Nature Genetics, 47(9), pp. 969–978.
Hrabě de Angelis, M. et al. (2015) “Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics”, Nature Genetics, 47(9), pp. 969–978.
Moreno, P. et al. (2015) “Bayesian Nonparametric Crowdsourcing”, Journal of Machine Learning Research [Preprint].
Favaro, S., Nipoti, B. and Teh, Y. (2015) “Rediscovery of Good–Turing estimators via Bayesian nonparametrics”, Biometrics, 72(1), pp. 136–145.