Publications

Esperança, P., Aslett, L. and Holmes, C. (2017) “Encrypted accelerated least squares regression”, AISTATS 2017: The 20th International Conference on Artificial Intelligence and Statistics. Edited by A. Singh and J. Zhu, 54, pp. 334–343.

Caron, F. and Matechou, E. (2017) “Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data”, Annals of Applied Statistics, 11(1), pp. 21–40.

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.

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.

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.

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).