Publications (Computational Statistics and Machine Learning) | Department of Statistics

Publications

Jewson, J., Smith, J. and Holmes, C. (2026) “On the Stability of General Bayesian Inference”, Bayesian Analysis, 21(2), pp. 725–755.

Mantziou, A. et al. (2026) “GDP nowcasting with large-scale inter-industry payment data in real time: a network approach”, Journal of the Royal Statistical Society Series A (Statistics in Society), p. qnag061.

Aminian, G. et al. (2026) “FraudTransformer: Time-Aware GPT for Digital Payment Fraud Detection”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 850–856.

Kilian, V., Cortinovis, S. and Caron, F. (2026) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in. Neural Information Processing Systems Foundation.

Barbour, A. and Reinert, G. (2026) Networks Probability and Statistics. Cambridge University Press.

Sandel, A. et al. (2026) “Lethal conflict after group fission in wild chimpanzees”, Science, 392(6794), pp. 216–220.

Clerico, E., Flynn, H. and Rebeschini, P. (2026) “Uniform mean estimation for monotonic processes”, Statistics & Probability Letters, 228, pp. 110558–110558.

Reinert, G. (2026) “Gesine Reinert’s contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’ by Whiteley et al’”, Journal of the Royal Statistical Society Series B Statistical Methodology, p. qkag008.

Cortinovis, S. and Caron, F. (2026) “FAB-PPI: Frequentist, assisted by Bayes, prediction-powered inference”, in Proceedings of the 42nd International Conference on Machine Learning. Journal of Machine Learning Research.

Zhang, R. and Reinert, G. (2025) “A Duplication–Divergence Hypergraph Model for Protein Complex Data”, Complexities, 1(1), pp. 7–7.