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Publications

Flaxman, S., Teh, Y. and Sejdinovic, D. (2017) “Poisson intensity estimation with reproducing kernels”, in International Conference on Artificial Intelligence and Statistics (AISTATS). AI & Statistics.
Holmes, C. and Walker, S. (2017) “Assigning a value to a power likelihood in a general Bayesian model”, Biometrika, 104(2), pp. 497–503.
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 Laboratory Investigation. 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 Modern Pathology. 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).
Mitrovic, J., Sejdinovic, D. and Teh, Y. (2017) “Deep kernel machines via the kernel reparametrization trick”, in 5th International Conference on Learning Representations Iclr 2017 Workshop Track Proceedings.