Publications (Statistical Theory and Methodology) | Department of Statistics

Publications

Brown, S. et al. (2018) “High-throughput mouse phenomics for characterizing mammalian gene function”, Nature Reviews Genetics, 19(6), pp. 357–370.

Rebeschini, P. and Tatikonda, S. (2018) “Locality in network optimization”, IEEE Transactions on Control of Network Systems, 6(2), pp. 487–500.

Calder, M. et al. (2018) “Computational modelling for decision-making: where, why, what, who and how”, Royal Society Open Science, 5(6), p. 172096.

Tatikonda, S. and Rebeschini, P. (2018) “Accelerated consensus via Min-Sum Splitting”, in Advances in Neural Information Processing Systems 30: 31st Annual Conference on Neural Information Processing Systems (NIPS 2017). Curran Associates, pp. 1375–1385.

Donnelly, C. et al. (2018) “Four principles to make evidence synthesis more useful for policy”, Nature, 558(7710), pp. 361–364.

Radhakrishnan, S. et al. (2018) “A question of accessibility: modelling the effects of demography and accessibility for vaccination on elimination of rabies in free-ranging dog populations in India..”

Willetts, M. et al. (2018) “Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants”, Scientific Reports, 8.

Elliott, L. et al. (2018) “Modeling population structure under hierarchical Dirichlet processes”, Bayesian Analysis, 14(2), pp. 313–339.

Anders, K. et al. (2018) “Cluster-randomized test-negative design trials: A novel and efficient method to assess the efficacy of community-level Dengue interventions”, American Journal of Epidemiology, 187(9), pp. 2021–2028.

Behr, M., Holmes, C. and Munk, A. (2018) “Multiscale blind source separation”, The Annals of Statistics, 46(2), pp. 711–744.