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Department of Mathematics & Statistics
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Associate Professor 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


  • Associate Professor, 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

  • Pohl, A. J., Schofield, M. R., & Ferber, R. (2022). A generalised smoothing approach for continuous, planar, inverse kinematics problems. Journal of Biomechanics. Advance online publication. doi: 10.1016/j.jbiomech.2022.111158
  • 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, 40, 4751-4763. doi: 10.1002/sim.8999
  • Holmes, J. B., Schofield, M. R., & Barker, R. J. (2021). Pólya‐gamma data augmentation and latent variable models for multivariate binomial data. Journal of the Royal Statistical Society: Series C. Advance online publication. doi: 10.1111/rssc.12528
  • Pohl, A. J., Schofield, M. R., & Ferber, R. (2021). Comparing the performance of Bayesian and least-squares approaches for inverse kinematics problems. Journal of Biomechanics, 126, 110597. doi: 10.1016/j.jbiomech.2021.110597
  • Efford, M. G., & Schofield, M. R. (2020). A spatial open-population capture-recapture model. Biometrics, 76, 394-402. doi: 10.1111/biom.13150

Supplementary Files

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