University of Oxford, Department of Statistics logo
University of Oxford, Department of Statistics logo
To Department of Statistics Site

Publications

Hejblum, B. et al. (2019) “Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data”, Annals of Applied Statistics, 13(1), pp. 638–660.
Galashov, A. et al. (2019) “Meta-Learning surrogate models for sequential decision making.”
Zecchin, B. et al. (2019) “Genetic and spatial characterization of the red fox (Vulpes vulpes) population in the area stretching between the Eastern and Dinaric Alps and its relationship with rabies and canine distemper dynamics”, PLoS ONE, 14(3).
Zecchin, B. et al. (2019) “Genetic and spatial characterization of the red fox (Vulpes vulpes) population in the area stretching between the Eastern and Dinaric Alps and its relationship with rabies and canine distemper dynamics”, PloS One, 14(3).
Ayed, F. and Caron, F. (2019) “Nonnegative Bayesian nonparametric factor models with completely random measures for community detection”, arXiv.
Webb, S. et al. (2019) “A statistical approach to assessing neural network robustness”, in Seventh International Conference on Learning Representations (ICLR 2019). International Conferences on Learning Representations.
.
Ayed, F., Lee, J. and Caron, F. (2019) “Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior”, arXiv.
Suwannahitatorn, P. et al. (2019) “Uncooked fish consumption among those at risk of Opisthorchis viverrini infection in central Thailand”, PloS ONE, 14(1).
Le, T. et al. (2019) “Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow”, in Proceedings of Machine Learning Research, pp. 1039–1049.