Publications (Statistical Theory and Methodology) | Department of Statistics - University of Oxford

Publications

Nicholson, G. and Holmes, C. (2016) “A note on statistical repeatability and study design for high-throughput assays”, Statistics in Medicine, 36(5), pp. 790–798.

Rebeschini, P. and Tatikonda, S. (2016) “A New Approach to Laplacian Solvers and Flow Problems”, arXiv.

Watson, J., Nieto-Barajas, L. and Holmes, C. (2016) “Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence”, Statistics, 51(3), pp. 558–571.

Filippi, S., Holmes, C. and Nieto Barajas, L. (2016) “Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures”, Electronic Journal of Statistics, 10(2), pp. 3338–3354.

Fernández, T. and Teh, Y. (2016) “Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior.”

Elliott, L. and Teh, Y. (2016) “A nonparametric HMM for genetic imputation and coalescent inference”, Electronic Journal of Statistics, 10(2), pp. 3425–3451.

Taylor, A. et al. (2016) “Artemether-lumefantrine and dihydroartemisinin-piperaquine exert inverse selective pressure on Plasmodium Falciparum drug sensitivity-associated haplotypes in Uganda”, Open Forum Infect Dis, 4(1), pp. ofw229 - ofw229-.

Bielby, J. et al. (2016) “Localised Badger Culling Increases Risk of Herd Breakdown on Nearby, Not Focal, Land”, PLOS ONE, 11(10), pp. e0164618 - e0164618-.

Woodroffe, R. et al. (2016) “Badgers prefer cattle pasture but avoid cattle: implications for bovine tuberculosis control”, Ecology Letters, 19(10), pp. 1201–1208.

Filippi, S. and Holmes, C. (2016) “A Bayesian nonparametric approach to testing for dependence between random variables”, Bayesian Analysis, 12(4), pp. 919–938.