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Publications

Holmes, C. and Walker, S. (2017) “Assigning a value to a power likelihood in a general Bayesian model”, Biometrika, 104(2), pp. 497–503.
Ley, C., Reinert, G. and Swan, Y. (2017) “Distances between nested densities and a measure of the impact of the prior in Bayesian statistics”, Annals of Applied Probability, 27(1), pp. 216–241.
Arbel, J. et al. (2017) “Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics”, Statistica Sinica, 27, pp. 839–858.
Hejblum, B. et al. (2017) “Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data”, arXiv.
Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Modern Pathology. Nature Publishing Group, p. 68A - 68A-.
Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Laboratory Investigation. Nature Publishing Group, p. 68A - 68A-.
Watson, J. and Holmes, C. (2017) “Rejoinder: Approximate Models and Robust Decisions”, Statistical Science, 31(4), pp. 516–520.
Watson, J. and Holmes, C. (2017) “Approximate models and robust decisions”, Statistical Science, 31(4), pp. 465–489.
Wills, Q. et al. (2017) “The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq”, BMC Genomics, 18(1).
Teh, Y. et al. (2017) “Distral: robust multitask reinforcement learning”, in Advances in Neural Information Processing Systems 30 (NIPS 2017). Massachusetts Institute of Technology Press, pp. 4497–4507.