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(PhD Otago)


Office: Science III, room 237
Tel +64 3 479 7779
Email matthew.schofield@otago.ac.nz

About

I am an Associate Professor in the Department of Mathematics and Statistics at the University of Otago. Before moving to Otago, I held positions at the University of Kentucky and Columbia University.

For more information please visit my personal webpage

Research Interests

My research involves the use of statistical modelling in various scientific disciplines with a focus on the use of Bayesian approaches. Recent application areas include ecology, environmental sciences, biomechanics, biological sciences and genetics.

Publications

Pohl, A. J., Schofield, M. R., Edwards, W. B., & Ferber, R. (2024). Adaptive P-Splines for challenging filtering problems in biomechanics. Journal of Biomechanics, 167, 112074. doi: 10.1016/j.jbiomech.2024.112074 Journal - Research Article

Bilton, T. P., Sharma, S. K., Schofield, M. R., Black, M. A., Jacobs, J. M. E., Bryan, G. J., & Dodds, K. G. (2024). Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data. Theoretical & Applied Genetics, 137, 64. doi: 10.1007/s00122-024-04568-2 Journal - Research Article

Schofield, M. R., Barker, R. J., Link, W. A., & Pavanato, H. (2023). Estimating population size: The importance of model and estimator choice. Biometrics. Advance online publication. doi: 10.1111/biom.13828 Journal - Research Article

Redmond, A. K., Davies, T. M., Schofield, M. R., & Sheard, P. W. (2023). New tools for the investigation of muscle fiber-type spatial distributions across histological sections. Skeletal Muscle, 13, 7. doi: 10.1186/s13395-023-00316-0 Journal - Research Article

Seber, G. A. F., & Schofield, M. R. (2023). Estimating presence and abundance of closed populations. Cham, Switzerland: Springer, 723p. doi: 10.1007/978-3-031-39834-6 Authored Book - Research

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