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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




  • Yu Yang, 2017
  • Georgia Anderson, 2016
  • Nick Gelling, 2016
  • Alastair Lamont, 2015

Recent Publications

  • Barker, R. J., Schofield, M. R., Link, W. A., & Sauer, J. R. (2017). On the reliability of N-mixture models for count data. Biometrics. Advance online publication. doi: 10.1111/biom.12734
  • Schofield, M. R., Barker, R. J., & Gelling, N. (2017). Continuous-time capture—recapture in closed populations. Biometrics. Advance online publication. doi: 10.1111/biom.12763
  • Schofield, M. R., Barker, R. J., Gelman, A., Cook, E. R., & Briffa, K. R. (2016). A model-based approach to climate reconstruction using tree-ring data. Journal of the American Statistical Association, 111(513), 93-106. doi: 10.1080/01621459.2015.1110524
  • Schofield, M., & Barker, R. (2016). 50-year-old curiosities: Ancillarity and inference in capture-recapture models. Statistical Science, 31(2), 161-174. doi: 10.1214/16-STS550
  • Bonner, S. J., Schofield, M. R., Noren, P., & Price, S. J. (2016). Extending the latent multinomial model with complex error processes and dynamic Markov bases. Annals of Applied Statistics, 10(1), 246-263. doi: 10.1214/15-AOAS889

Supplementary Files

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