Dr Matthew Schofield
Office: Science III, room 237Phone: 479-7779
Email: mschofield@maths.otago.ac.nz
Research Interests
My research interests include
- Bayesian inference and hierarchical modeling
- Computational methodology
- Ecological statistics
- Environmental statistics
- Statistics in sports science
Professional Positions
Current:
- Senior Lecturer, University of Otago
Previous
- Assistant Professor, Department of Statistics, University of Kentucky
- Postdoctoral Researcher, Applied Statistics Center, Columbia University
Ph.D. Students
Current
- Heloise Pavanato (lead supervisor Richard Barker)
- Alastair Lamont (co-supervisor Richard Barker)
- Taylor Hamlin (co-supervisors Phil Seddon, Dean Anderson)
- Soundarya Karamcheti (lead supervisor Phil Bremer, co-supervised by Gale Brightwell)
- Matthew Strother (lead supervisor Ben Daniel; co-supervised by Katrina Sharples)
- Anna Redmond (lead supervisor Tilman Davies; co-supervised by Phil Sheard)
- Andy Pohl (University of Calgary)
Completed
- Timothy Bilton (co-supervisors Ken Dodds, Mik Black)
- Paula Bran (lead supervisor Richard Barker)
- John Holmes (lead supervisor Richard Barker, co-supervised by Michael Lee and Ken Dodds)
Honours Students
- Anna Redmond, 2019
- Yu Yang, 2017
- Georgia Anderson, 2016
- Nick Gelling, 2016
- Alastair Lamont, 2015
Select Recent Publications
- Wang, T., Schofield, M., Bebbington, M., & Kiyosugi, K. (2019). Bayesian modelling of marked point processes with incomplete records: Volcanic eruptions. Journal of the Royal Statistical Society: Series C. Advance online publication. doi: 10.1111/rssc.12380
- Efford, M. G., & Schofield, M. R. (2019). A spatial open-population capture—recapture model. Biometrics. Advance online publication. 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
- 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
Supplementary Files
- Supplementary files for some of my published papers can be found on my resource page
