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Publications

Coulson, M., Gaunt, R. and Reinert, G. (2017) “Compound Poisson approximation of subgraph counts in stochastic block models with multiple edges”, arXiv [Preprint].
Di Benedetto, G., Caron, F. and Teh, Y. (2017) “Non-exchangeable random partition models for microclustering”, arXiv.
Luecken, M. et al. (2017) “CommWalker: Correctly evaluating modules in molecular networks in light of annotation bias”, Bioinformatics, 34(6), pp. 994–1000.
Hasenclver, L. et al. (2017) “Distributed Bayesian learning with stochastic natural gradient expectation propagation and the posterior server”, Journal of Machine Learning Research, 18(106), pp. 1–37.
Caron, F. and Fox, E. (2017) “Sparse graphs using exchangeable random measures”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 79(5), pp. 1295–1366.
Daly, A. et al. (2017) “Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models”, Interface, 14(134).
Riolo, M. et al. (2017) “Efficient method for estimating the number of communities in a network”, Physical Review E, 96(3), p. 032310.
Drovandi, C. et al. (2017) “Principles of Experimental Design for Big Data Analysis”, Statistical Science, 32(3), pp. 385–404.
Kley, O., Klueppelberg, C. and Reinert, G. (2017) “Conditional risk measures in a bipartite market structure”, Scandinavian Actuarial Journal, 2018(4), pp. 328–355.
Elliott, A. et al. (2017) “A nonparametric significance test for sampled networks”, Bioinformatics, 34(1), pp. 64–71.