Staff profile
Overview
https://apps.dur.ac.uk/biography/image/2001
Affiliation |
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Professor in the Department of Mathematical Sciences |
Publications
Journal Article
- Proposer of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’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: Statistical Methodology, 86(2), 302-304. https://doi.org/10.1093/jrsssb/qkad160
- Emulating long-term weather-driven transportation earthworks deterioration models to support asset managementHelm, 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
- A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fieldsJohnson, 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
- A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plantHannaford, 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 and Data Analysis, 179. https://doi.org/10.1016/j.csda.2022.107659
- MGnify: the microbiome sequence data analysis resource in 2023Richardson, 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., … 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
- Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inferenceSvalova, 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
Supervision students
Tate Paterson Hughes
1S