Publications (Statistical Theory and Methodology) | Department of Statistics

Publications

Kim, Y. and Donnelly, C. (2026) “Estimating the Potential Burden of Clinically Significant Hantavirus Cases in Argentina”, The Lancet Regional Health. Europe [Preprint].

Alrefae, T. et al. (2026) “A Bayesian modelling framework for inference of latent infection risk patterns from virus neutralisation assay titration data”, openRxiv.

Guizar-Coutiño, A. et al. (2026) “Unobserved confounders cannot explain over-crediting in avoided deforestation carbon projects”, Nature Ecology & Evolution, pp. 1–11.

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

Chen, J. et al. (2026) “Incorporating Uncertainty in Study Participants’ Age in Serocatalytic Models”, medRxiv.

Sangkaew, S. et al. (2026) “Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand”, PLOS Digital Health, 5(2), p. e0001171.

Donnelly, C. et al. (2026) “Increased activity in broiler chickens is associated with better feed conversion”, Poultry Science, pp. 106599–106599.

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

Whitaker, M. et al. (2026) “Profiling vaccine attitudes and subsequent uptake in 1·1 million people in England: a nationwide cohort study”, The Lancet [Preprint].

Sun, Z. et al. (2026) “GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning”, in Knowledge Graphs. Springer Nature, pp. 51–62.