Publications

Lakshminarayanan, B., Roy, D. and Teh, Y. (2015) “Particle Gibbs for Bayesian additive regression trees”, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015, San Diego, CA, USA, 38, pp. 553–561.

Locke, A. et al. (2015) “Genetic studies of body mass index yield new insights for obesity biology”, Nature, 518(7538), pp. 197–206.

Adams, R. et al. (2015) “Guest Editors’ Introduction to the Special Issue on Bayesian Nonparametrics.”, IEEE transactions on pattern analysis and machine intelligence, 37(2), pp. 209–211.

Favaro, S., Nipoti, B. and Teh, Y. (2015) “Random variate generation for Laguerre-type exponentially tilted $\alpha$-stable distributions”, Electronic Journal of Statistics, 9(1), pp. 1230–1242.

Favaro, S., Lomeli, M. and Teh, Y. (2015) “On a class of σ-stable Poisson–Kingman models and an effective marginalized sampler”, Statistics and Computing, 25(1), pp. 67–78.

Lienart, T., Teh, Y. and Doucet, A. (2015) “Expectation particle belief propagation”, in Advances in Neural Information Processing Systems, pp. 3609–3617.

Rebeschini, P. and Karbasi, A. (2015) “Fast mixing for discrete point processes”, in Journal of Machine Learning Research.

De Iorio, M., Favaro, S. and Teh, Y. (2015) “Bayesian Inference on Population Structure: From Parametric to Nonparametric Modeling”, in Nonparametric Bayesian Inference in Biostatistics. Springer Nature, pp. 135–151.

Lomelí, M., Favaro, S. and Teh, Y. (2015) “A hybrid sampler for Poisson-Kingman mixture models”, in Advances in Neural Information Processing Systems, pp. 2161–2169.

Parker, A. et al. (2015) “The goya mouse mutant reveals distinct newly identified roles for MAP3K1 in the development and survival of cochlear sensory hair cells”, Disease Models & Mechanisms, 8(12), pp. 1555–1568.