Staff profile

Journal Article

• Wilkinson, D. (2024). Proposer of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society: Series B, 86(2), 302-304. https://doi.org/10.1093/jrsssb/qkad160
• Helm, P., Svalova, A., Morsy, A., Rouainia, M., Smith, A., El-Hamalawi, A., Wilkinson, D., Postill, H., & Glendinning, S. (2024). Emulating long-term weather-driven transportation earthworks deterioration models to support asset management. Transportation Geotechnics, 44, Article 101155. https://doi.org/10.1016/j.trgeo.2023.101155
• Johnson, S. R., Heaps, S. E., Wilson, K. J., & Wilkinson, D. J. (2023). A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields. Environmetrics, 34(8), https://doi.org/10.1002/env.2824
• Hannaford, N., Heaps, S., Nye, T., Curtis, T., Allen, B., Golightly, A., & Wilkinson, D. (2023). A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant. Computational Statistics & Data Analysis, 179, https://doi.org/10.1016/j.csda.2022.107659
• Richardson, L., Allen, B., Baldi, G., Beracochea, M., Bileschi, M., Burdett, T., Burgin, J., Caballero-Pérez, J., Cochrane, G., Colwell, L., Curtis, T., Escobar-Zepeda, A., Gurbich, T., Kale, V., Korobeynikov, A., Raj, S., Rogers, A., Sakharova, E., Sanchez, S., Wilkinson, D., & Finn, R. (2023). MGnify: the microbiome sequence data analysis resource in 2023. Nucleic Acids Research, 51(D1), D753-D759. https://doi.org/10.1093/nar/gkac1080
• Svalova, A., Helm, P., Prangle, D., Rouainia, M., Glendinning, S., & Wilkinson, D. J. (2021). Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference. Data-Centric Engineering, 2, Article e12. https://doi.org/10.1017/dce.2021.14