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, 79, 3803-3817. 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
Efford, M. G., & Schofield, M. R. (2022). A review of movement models in open population capture-recapture. Methods in Ecology & Evolution, 13, 2106-2118. doi: 10.1111/2041-210X.13947
Journal - Research Other
Holmes, J. B., Schofield, M. R., & Barker, R. J. (2022). Pólya‐gamma data augmentation and latent variable models for multivariate binomial data. Journal of the Royal Statistical Society: Series C, 71, 194-218. doi: 10.1111/rssc.12528
Journal - Research Article
Holmes, J. B., & Schofield, M. R. (2022). Moments of the logit-normal distribution. Communications in Statistics: Theory & Methods, 51(3), 610-623. doi: 10.1080/03610926.2020.1752723
Journal - Research Article
Pohl, A. J., Schofield, M. R., & Ferber, R. (2022). A generalised smoothing approach for continuous, planar, inverse kinematics problems. Journal of Biomechanics, 141, 111158. doi: 10.1016/j.jbiomech.2022.111158
Journal - Research Other
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
Journal - Research Article
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
Journal - Research Article
Efford, M. G., & Schofield, M. R. (2020). A spatial open-population capture-recapture model. Biometrics, 76, 394-402. doi: 10.1111/biom.13150
Journal - Research Article
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
Journal - Research Article
Seber, G. A. F., & Schofield, M. R. (2019). Capture-recapture: Parameter estimation for open animal populations. Cham, Switzerland: Springer, 663p. doi: 10.1007/978-3-030-18187-1
Authored Book - Research
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
Journal - Research Article
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
Journal - Research Article
Bilton, T. P., Schofield, M. R., Black, M. A., Chagné, D., Wilcox, P. L., & Dodds, K. G. (2018). Accounting for errors in low coverage high-throughput sequencing data when constructing genetic maps using biparental outcrossed populations. Genetics, 209(1), 65-76. doi: 10.1534/genetics.117.300627
Journal - Research Article
Schofield, M. R., Barker, R. J., & Gelling, N. (2018). Continuous-time capture—recapture in closed populations. Biometrics, 74(2), 626-635. doi: 10.1111/biom.12763
Journal - Research Article
Link, W. A., Schofield, M. R., Barker, R. J., & Sauer, J. R. (2018). On the robustness of N-mixture models. Ecology, 99(7), 1547-1551. doi: 10.1002/ecy.2362
Journal - Research Article
Schofield, M. R., & Barker, R. J. (2017). Model fitting and evaluation in climate reconstruction of tree-ring data: A comment on Steinschneider et al. (2017): Hierarchical regression models for dendroclimatic standardization and climate reconstruction. Dendrochronologia, 46, 77-84. doi: 10.1016/j.dendro.2017.10.004
Journal - Research Article
Schofield, M. R. (2017). Comment: Estimating abundance: A non parametric mark recapture approach for open and closed systems. Environmental & Ecological Statistics, 24(4), 587-594. doi: 10.1007/s10651-017-0382-2
Journal - Research Other
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
Journal - Research Article
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
Journal - Research Article
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
Journal - Research Article
Button, C., Schofield, M., & Croft, J. (2016). Distance perception in an open water environment: Analysis of individual differences. Attention, Perception & Psychophysics, 78(3), 915-922. doi: 10.3758/s13414-015-1049-4
Journal - Research Article
Schofield, M. R., & Bonner, S. J. (2015). Connecting the latent multinomial. Biometrics, 71(4), 1070-1080. doi: 10.1111/biom.12333
Journal - Research Article
Barker, R. J., Schofield, M. R., Wright, J. A., Frantz, A. C., & Stevens, C. (2014). Closed-population capture—recapture modeling of samples drawn one at a time. Biometrics, 70(4), 775-782. doi: 10.1111/biom.12241
Journal - Research Article
Schofield, M. R., & Barker, R. J. (2014). Hierarchical modeling of abundance in closed population capture—recapture models under heterogeneity. Environmental & Ecological Statistics, 21(3), 435-451. doi: 10.1007/s10651-013-0262-3
Journal - Research Article
Bonner, S., & Schofield, M. (2014). MC(MC)MC: Exploring Monte Carlo integration within MCMC for mark—recapture models with individual covariates. Methods in Ecology & Evolution, 5(12), (pp. 1305-1315). doi: 10.1111/2041-210X.12095
Conference Contribution - Published proceedings: Full paper
Welch, K. D., Schofield, M. R., Chapman, E. G., & Harwood, J. D. (2014). Comparing rates of springtail predation by web-building spiders using Bayesian inference. Molecular Ecology, 23(15), 3814-3825. doi: 10.1111/mec.12721
Journal - Research Article
Schofield, M. R., Barker, R. J., & Taylor, P. (2013). Modeling individual specific fish length from capture—recapture data using the von Bertalanffy growth curve. Biometrics, 69(4), 1012-1021. doi: 10.1111/biom.12069
Journal - Research Article
Westneat, D. F., Schofield, M., & Wright, J. (2013). Parental behavior exhibits among individual variance, plasticity and heterogeneous residual variance. Behavioral Ecology, 24(3), 598-604. doi: 10.1093/beheco/ars207
Journal - Research Article