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Department of Mathematics & Statistics
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Dr Matthew Schofield

Office: Science III, room 237
Phone: 479-7779

Research Interests

My research interests include

  • Bayesian inference and hierarchical modeling
  • Computational methodology
  • Ecological statistics
  • Environmental statistics
  • Statistics in sports science

Professional Positions


  • Senior Lecturer, University of Otago


  • Assistant Professor, Department of Statistics, University of Kentucky
  • Postdoctoral Researcher, Applied Statistics Center, Columbia University

Ph.D. Students



Honours Students

  • Josh Forward, 2021
  • Vicky He, 2021
  • Anna Redmond, 2019
  • Yu Yang, 2017
  • Georgia Anderson, 2016
  • Nick Gelling, 2016
  • Alastair Lamont, 2015

Select Recent Publications

  • Schofield, M. R., Maze, M. J., Crump, J. A., Rubach, M. P., Galloway, R., & Sharples, K. J. (2021). On the robustness of latent class models for diagnostic testing with no gold standard. Statistics in Medicine. Advance online publication. doi: 10.1002/sim.8999
  • Wang, T., Schofield, M., Bebbington, M., & Kiyosugi, K. (2020). Bayesian modelling of marked point processes with incomplete records: Volcanic eruptions. Journal of the Royal Statistical Society: Series C, 69(1), 109-130. doi: 10.1111/rssc.12380
  • Efford, M. G., & Schofield, M. R. (2020). A spatial open-population capture-recapture model. Biometrics, 76, 394-402. doi: 10.1111/biom.13150
  • Davies, T. M., Schofield, M. R., Cornwall, J., & Sheard, P. W. (2019). Modelling multilevel spatial behaviour in binary-mark muscle fibre configurations. Annals of Applied Statistics, 13(3), 1329-1347. doi: 10.1214/18-AOAS1214
  • Barker, R. J., Schofield, M. R., Link, W. A., & Sauer, J. R. (2018). On the reliability of N-mixture models for count data. Biometrics, 74(1), 369-377. doi: 10.1111/biom.12734

Supplementary Files

  • Supplementary files for some of my published papers can be found on my resource page