Publications

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Sahu, S. (2022). Bayesian modeling of spatio-temporal data with R. CRC.
Vickers, J., & D'Inverno, R. (2022). Introducing Einstein's Relativity: A deeper understanding. (2nd ed.) Oxford University Press, Oxford.
Bokhove, C., Thoma, A., Gammack, D., Yu, L. H. S., Roberts, S., & Downey, F. (2022). Thinking about proof. University of Southampton. https://doi.org/10.5258/SOTON/P1082

Jones, G. A. (2022). A short proof of Greenberg’s Theorem. In A. Wootton, S. A. Broughton, & J. Paulhus (Eds.), Automorphisms of Riemann Surfaces, Subgroups of Mapping Class Groups and Related Topics (Vol. 776, pp. 83-88). (Contemporary Mathematics). American Mathematical Society. https://doi.org/10.1090/conm/776/15608
Broughton, S. A., Jones, G. A., & Singerman, D. (2022). The engaging symmetry of Riemann surfaces: A historical perspective. In A. Wootton, S. A. Broughton, & J. Paulhus (Eds.), Automorphisms of Riemann Surfaces, Subgroups of Mapping Class Groups and Related Topics (Vol. 776, pp. 1-35). (Contemporary mathematics; Vol. 776). https://doi.org/DOI: https://doi.org/10.1090/wootton/776
Kattan, D., & Singerman, D. (2022). Universal q-gonal tessellations and their Petrie paths. In A. Wootton, S. A. Broughton, & J. Paulhus (Eds.), Automorphisms of Riemann Surfaces, Subgroups of Mapping Class Groups and Related Topics (Vol. 776). (Contemporary Mathematics). American Mathematical Society. https://doi.org/10.1090/conm/776/15617
Pound, A., & Wardell, B. (Accepted/In press). Black hole perturbation theory and gravitational self-force. In Handbook of Gravitational Wave Astronomy Springer.
Bokor, I., Crowley, D., Friedl, S., Hebestreit, F., Kasprowski, D., Land, M., & Nicholson, J. (2021). Connected sum decompositions of high-dimensional manifolds. In D. R. Wood, J. de Gier, C. E. Praeger, & T. Tao (Eds.), 2019-20 MATRIX Annals (pp. 5-30). (MATRIX Book Series; Vol. 4). Springer, Cham. https://doi.org/10.1007/978-3-030-62497-2_1

Chapman, A., Ugwudike, P., Grylls, P., Gammack, D., & Ayling, J. A. (2022). A data-driven analysis of the interplay between criminological theory and predictive policing algorithms. In ACM Conference on Fairness, Accountability, and Transparency: FaCCT ACM Press.
Kiakojouri, A., Lu, Z., Mirring, P., Powrie, H., & Wang, L. (2022). A generalised machine learning model based on multi-nomial logistic regression and frequency features for rolling bearing fault classification. 447-452. Paper presented at The Eighteenth International Conference on Condition Monitoring and Asset Management, London, United Kingdom.
Casey, D., Fairclough, I., Perisic, V., Carey, W., & Smith, A. (2022). Facing challenges in remote mathematics education and support by building a community of practice around student-staff partnership. In MSOR Connections: Conference Special Issue 1: Responding to the COVID-19 pandemic (1 ed., Vol. 20, pp. 102 - 110) https://doi.org/10.21100/msor.v20i1
Wise, A. F., Heib, A., Morgan, L. E., Currie, C. S. M., Champneys, A., Nadarajah, R., Gale, C., & Mamas, M. (2022). Modeling of waiting lists for chronic heart failure in the wake of the COVID-19 pandemic. In 2021 Winter Simulation Conference, WSC 2021 (Proceedings - Winter Simulation Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC52266.2021.9715505
Thoma, A., Bokhove, C., & Gammack, D. (2022). Proof by induction in calculus - investigating first-year students’ examination scripts. Abstract from Conference of the British Society for Research into Learning Mathematics , Nottingham, United Kingdom.
Holland, E., Stannard, S., Alwan, N., Boniface, M., Hoyle, R., Zlatev, Z., Crozier, S., Ahmed, M., Mcmahon, J., Ware, W., & Fraser, S. (Accepted/In press). Exploring sentinel conditions and the accrual sequence of multiple long-term condition multimorbidity (MLTC-M): an exploratory retrospective cohort study using birth cohort and routine primary care data. In The Lancet The Lancet.

Mitra, R., McGough, S. F., Chakraborti, T., Holmes, C., Copping, R., Hagenbuch, N., Biedermann, S., Noonan, J., Lehmann, B., Shenvi, A., Doan, X. V., Leslie, D., Bianconi, G., Sanchez-Garcia, R., Davies, A., Mackintosh, M., Andrinopoulou, E-R., Basiri, A., Harbron, C., & MacArthur, B. D. (2023). Learning from data with structured missingness. Nature Machine Intelligence, 5(1), 13-23. https://doi.org/10.1038/s42256-022-00596-z, https://doi.org/10.1038/s42256-022-00596-z
MacArthur, B. D. (2023). Stem cell biology needs a theory. Stem Cell Reports, 18(1), 3-5. https://doi.org/10.1016/j.stemcr.2022.11.005
Liu, W., Srimaneekarn, N., Hayter, A., & Tantipoj, C. (2022). Binary response analysis using logistic regression in dentistry. International Journal of Dentistry, 2022(5358602), [5358602]. https://doi.org/10.1155/2022/5358602
Kotzur, L., Nolting, L., Hoffmann, M., Groß, T., Smolenko, A., Priesmann, J., Büsing, H., Beer, R., Kullmann, F., Singh, B., Praktiknjo, A., Stolten, D., & Robinius, M. (2021). A modeler's guide to handle complexity in energy systems optimization. Advances in Applied Energy, 4, [100063]. https://doi.org/10.1016/j.adapen.2021.100063

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